Unitree Robotics22NVIDIA20Tesla14Figure AI11Gemini Robotics11Boston Dynamics10Skild AI7BMW6Hugging Face6Agility5AGIBOT4Axis Robotics4Fcc4Pollen Robotics4agentic video understanding3Amazon3Ambarella3Generalist AI3Lightberry3Noble Machines3Sanctuary AI3SoftBank3world-labs3AllSpice.io2Anthropic2Applied Intuition2Avnet2BHW Technologies, Ltd.2Booster Robotics2Cardinal Group2CareIT2Cargt2Carnegie Mellon2Cedarware Corp2CELUS2Datadog2Dojo Five2dollars2Exor Seeds2Finite State2Ford Motor Company2Fourier Intelligence2Galbot2General Motors2Gravis Robotics2Green Hills Software2HHMI Janelia2IAR2Imagimob AB2Juul Labs Inc.2LG2Lightwheel2Microchip Technology2MosChip Technologies Limited2Noom2Norbert Health2OpenAI2Owkin2plant-spartanburg2Proactive International PR2QNX2QuEra2Real-Time Innovations (RTI)2Rheem Manufacturing2Robotera2Samsung2Savoir-Faire Linux2Scale AI2Sealevel Systems, Inc.2Soliton Technologies2TASKING USA, LLC2Thread Group2Toradex2UBTECH2Universal Robots2Wibu-Systems USA2X Square Robot2XPeng2Xynova2アスター2燈2秋田県横手市20xconglomerate11X12077 Ventures13D inkjet printing1actuation cost1Actuator BOM contribution1adaptation time for new robot embodiments1ADLINK1Advanced Micro Devices Inc1Aeva Technologies Inc1AGILINKai1Aigen1Alloy Robotics1Alloy Robotics funding1Amara Raja Energy & Mobility1amazon-warehouses1Ambarella Inc1Amphenol1Anduril1Annual cost of software access.1Apptronik1Aramco1Atlas1Atlas humanoid robot1Atlas model for spatial intelligence.1Atlas robot1ATOMS1AXIS ROBOTICS Inc.1Bajaj Auto1Balaji Amines1Bank of America1Beningo Embedded Group1Bharat Bijlee1Bharat Forge1BlackRock1Bosch Limited1Boston Hardware Studios1C4 Ventures1cable stretch1Carnegie Mellon integration time1Caterpillar1CATL1CGNX1child-sized humanoid robots1civilian robot1Cognex1Cognex Corp1Columbia University1component placement rate1continuous locomotion demo1corrections collected1Cost of the GR-1 humanoid1crowns1current humanoid BOM1CXMT1Cycle time for completing a plug insertion.1cycle time for the insertion task1Cyient DLM1Dandy1DaxAI1DeepSeek1Degrees of Freedom for UBTECH1Degrees of Freedom for XPeng1Delivery timeline for a data center.1development timeline of Moby.1development timeline reduction.1Dexforce1dextrous hands cost1Diligent Robotics1Divgi TorqTransfer Systems1Dobot1Doosan Bobcat1Drones owned by the Pentagon1Dusty Robotics1Dynamo Ventures1DynaRobotics1Embodied AI model1EngineAI1episodes in RoboLab evaluation1Equinor1examples for adapting to new robotic embodiments.1Exide Industries1FieldAI1FieldAI-powered robot1filtered simulation episodes1Flexion Robotics1FORT Robotics1Founder Edition Lumis1Fudan University1G1 humanoid grasp and lift task1GalbotRobotics1Gearbox cost contribution1Generalist1GeneralistAI1gold medals won at the World Humanoid Robot Games1Goldman Sachs1government-of-the-republic-of-serbia1Greaves Cotton1group-plant-leipzig1GrubMarket1Gujarat Fluorochemicals1GXO1hams-hall-plant1hangzhou-yushu-technology1hardware design1Harmonic Drive1Harmonic Drive Systems1Harvard University1HBL Power Systems1HCVC1HELLA India1Hero MotoCorp1Hexagon AB1Himadri Speciality Chemical1human correction data1humanoid robot by EngineAI1Humanoid robots1Humanoid robots procurement1Hydra-0 training1Hyundai1IHMC1Initial price of Lumi's Founder Edition.1insertion trials conducted over 40 minutes1Integration of robotic components.1Intel1iRobot1iso1issue of IEEE Spectrum1JBM Auto1Kaynes Technology1Khosla Ventures1lackawanna-energy-center1ladder climb1land-transport-authority-singapore1Lattice Semiconductor1LDV Capital1LeggedRobot1LimX1LimX Dynamics1LimX Luna robot1Lincoln1Linker Vision1Long-horizon unseen tasks1Madison Air1Mahindra & Mahindra1Mahindra CIE1manipulation tasks1ManusMeta1market opportunity1Matic1maximum number of times a user can complete the same task.1Mercedes-Benz1Meta1Microduck1Microduck price1Microduck specifications1Micron1Milk Road Pro1ministry-of-science-and-ict1Minth Group1minth-metal-parts-majur1MIPS, by GF1Moby deployment in a semiconductor facility.1Morgan Stanley1MP Materials1Nabtesco1napkins in a bin1national-development-and-reform-commission1NBT average for RandER.1NBT average with 1% Memory Anchors removed.1NBT average with 10% Memory Anchors removed.1NBT average with 5% Memory Anchors removed.1Neogen Chemicals1new tasks1Newlab1Nidec1Niron Magnetics1Nucleus1Number of contributors for the engine on Base.1Number of tasks published.1Ola Electric1Olectra Greentech1Ondas Inc1ONDS1Operational time of an early prototype.1Orbbec1Origami Robotics1OUST1Ouster Inc1Panasonic1Parasoft1Passenger vehicles (4W)1Patient acceptance rate.1pennsylvania-governor-josh-shapiro1perception system1Perceptron1Perceptron AI1perceptroninc1Performance metric for model.1Peridio1PetoiCamp1physical AI data delivered1Pink Robotics1pollenrobotics1post-training duration1power consumption comparison of Jetson Orin Nano 21Predicted deployment of humanoid robots in homes.1price of Microduck1proception1Projected cost drop for humanoid robots.1Projected shortage of healthcare staff.1QuEra controller success rate1Racepoint Global1Radical Ventures1rallies1Red Cat Holdings1Reflect V1.0 from Flexion Robotics.1Regal Rexnord1Rhoda1RobbyAnt1RoboCup 20251RoboSense1robot capturing work inside the factory.1robot climbing a ladder1robot data collection1robot design1robot handling components and folding storage boxes1robot interaction data from the DROID dataset1robot programming1Robotera’s parcel-sorting robot1robotics-industrial-park1ROBOTIS1Rockchip1Rockwell Automation1S1 compared to current VLA models1sales for Microduck1Sansera Engineering1Saronic1Scale AI data delivery1Schaeffler1Science Robotics1sec1Second State Inc1Secure-IC1Secure-IC – a Cadence Company1seed studio1Seeed1Seeed Studio1sensing cost1Serena Capital1Series A funding1Series A funding for Norbert Health.1Serve Robotics1sf1shenzhen1Shield AI1sim-to-real gap1SK Hynix1Skydio1SMRT1Solomon1Sona Comstar1Sony1south-korea-ministry-of-planning-and-budget1SpaceX1speedup in generative performance1star-market1Stellarix1structure cost1success rate for few-shot learning1Success rate of AI-controlled trials.1success rate of the post-trained policy.1success rate of the wire insertion task1success rate with few-shot learning1success rate with one-shot physical prompting1successful grasps by the G1 humanoid on hardware.1sundayrobotics1supply chain gap in UxV and robotics components1Symbotic Inc1Synopsys1Syrma SGS Technology1target action-loss1tasks available in RoboLab.1Tata Motors1TE Connectivity1technia1teleoperation for new tasks1teleoperation reduction1Tencent1TER1Teradyne Inc1Texas Instruments1texas-dmv1the future of humanoids in robotics.1the number of humanoid robots within the next decade1the release of the September issue of the magazine.1The University of Hong Kong1time taken for the robot to autonomously run the task1Top vendor positions in global humanoid shipments.1Total capital raised1Total capital raised by Norbert Health.1total Cybercabs in Robotaxi fleet1total memory demand with 1 million humanoid robots1total memory demand with 10 million humanoid robots1total memory SAM per unit1Total number of trajectories collected.1Total robotic systems procurement1Total trajectories in the engine.1Toyota Motor Manufacturing Canada1training duration1training hours for LDA-1B model1training video hours1transactions1TranscEngram1TRON 21TVS1u.s.-federal-communications-commission1UMAC1UMI1UMI and teleoperation in robotics1UnitreeRobotics1units1users1VAC1validated run uses 64 nodes of 4× GB200 for 60K iterations, roughly 68 hours (17.4K GB200-hours).1Veeda AI1video generation1Wing1Wonik Robotics1xiaomi-ev-factory1XPENG Robotics1XPENG Robotics funding1Y Combinator1Zhejiang University1ZiNovaLabs1三菱電機1出資1宇樹科技1燈がアスターに出資する計画1
manipulation tasks120 units“across 120 language-conditioned manipulation tasks”@NVIDIARobotics on X
market opportunity$0“the companies that benefit is not only be the robot manufacturers but the real picks and shovels will be the suppliers that provide the robot’s brain, eyes, muscles, joints, sensors and nervous system.”@MilkRoadAI on X
supply chain gap in UxV and robotics components$0“the companies solving that layer are the real infrastructure play”@OperationsPLS on X
Hydra-0 training2202 hrs“It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems.”@techniahqrobot on X
XPENG Robotics funding$900million“XPENG’s robotics business raised more than $900 million at a post money valuation above $6.3 billion, representing the largest single private financing recorded in China’s embodied AI sector to date.”Humanoid Digest: August 2026 | XMAQUINA DAO
Alloy Robotics funding$11.5million“Sydney based Alloy Robotics raised A$11.5 million in a seed round led by Square Peg, with Blackbird, Airtree and Skip Capital among the returning investors.”Humanoid Digest: August 2026 | XMAQUINA DAO
Figure Index uploads16,000,000 units“Figure says Index has accumulated more than 16 million video uploads across 108 countries, with 264,000 app downloads and more than 44,000 weekly active users.”Humanoid Digest: August 2026 | XMAQUINA DAO
the number of humanoid robots within the next decade1,000,000,000 units“Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle that accelerates after starting slowly.”@MilkRoadAI on X
Embodied AI model36,000,000,000 units“A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it.”@techniahqrobot on X
Degrees of Freedom for XPeng82 units“XPeng (IRON): 82 DoF (‼️)”@pepse02 on X
Degrees of Freedom for Tesla50 units“Tesla (Optimus): 50 – 72 DoF”@pepse02 on X
Degrees of Freedom for Boston Dynamics50 units“Boston Dynamics (Electric Atlas): 50 DoF”@pepse02 on X
Degrees of Freedom for UBTECH41 units“UBTECH (Walker S1): 41 – 52 DoF”@pepse02 on X
Degrees of Freedom for Figure35 units“Figure (Figure 02): 35 DoF”@pepse02 on X
FieldAI-powered robot1 units“A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot.”@fieldai_ on X
Cost of the GR-1 humanoid$125,000“Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen.”@rich_odinn on X
total memory demand with 1 million humanoid robots$600million“that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
total memory demand with 10 million humanoid robots$6billion“while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
the future of humanoids in robotics.1 units“The robot revolution won’t be won by the humanoid with the best backflip.”@clavion95 on X
total memory SAM per unit$250“we see a SAM range of between $250-$350 for DRAM and $350-$450 for NAND, for a total memory SAM of between $600-$800 or more per unit.”@ParadisLabs on X
cable stretch10,000 units“cable stretch over 10,000 continuous cycles destroys sub-millimeter precision.”@smsehy on X
rallies100 units“Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time.”@ctorobotics on X
Atlas robot1 units“Boston Dynamics is already manufacturing production-ready versions for real-world industrial work.”@KaptanHindustan on X
insertion trials conducted over 40 minutes313 units“The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier.”Sanctuary AI puts humanoid tech on industrial robots
success rate of the wire insertion task$99.5“Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5%”Sanctuary AI puts humanoid tech on industrial robots
Humanoid robots500,000 units“industry-wide estimates pointing toward roughly 500,000 units/year by 2027 across Optimus, Figure, 1X, Unitree, and others.”@davidcao01 on X
Drones owned by the Pentagon200,000 units“The Pentagon's Drone Dominance Program has committed $1 billion to purchasing more than 200,000 drones by 2027, scaling to 340,000 by 2028.”@davidcao01 on X
ladder climb15 units“the company's humanoid climbing 15 feet up a ladder and 15 feet back down with no human input”@IntEngineering on X
Actuator BOM contribution40 units“Actuators can potentially represent ~40–60% of a humanoid's BOM.”@santoshsingh1 on X
Gearbox cost contribution30 units“the gearbox itself can represent roughly 30–50% of actuator cost.”@santoshsingh1 on X
robot handling components and folding storage boxes1 units“One robot handles components and folds storage boxes.”@Olivier__OG on X
robot capturing work inside the factory.1 units“Another robot captures the work from inside the factory.”@Olivier__OG on X
Operational time of an early prototype.10.5 hrs“Lightberry previously deployed an early prototype –– Beach Boy Robot –– at the ElevenLabs Summit, where the robot operated for 10.5 hours as an automated event photographer, interacting with attendees and uploading images autonomously.”Lightberry Unveils Lumi: A $40k Interactive Humanoid Built on a Unitree Core | Humanoids Daily
Gemini Robotics 2 (VLA)1 units“three models: Gemini Robotics 2 (VLA) converts vision+language into motor control first DeepMind VLA to control a full humanoid feet-to-fingertips under one checkpoint.”@csentropy on X
Gemini Robotics ER 2 (VLM)1 units“Gemini Robotics ER 2 (VLM) the embodied-reasoning brain; publicly available.”@csentropy on X
Gemini Robotics On-Device 2 (VLA)1 units“Gemini Robotics On-Device 2 (VLA) runs locally, adapts to new embodiments in a few hours.”@csentropy on X
NBT average for RandER.0.197 units“RandER: 0.197 ± 0.020 (SEM)”MemoryAnchors
NBT average with 1% Memory Anchors removed.0.171 units“−1%: 0.171 ± 0.018 (SEM)”MemoryAnchors
NBT average with 5% Memory Anchors removed.0.284 units“−5%: 0.284 ± 0.027 (SEM)”MemoryAnchors
NBT average with 10% Memory Anchors removed.0 units“−10%: 0”MemoryAnchors
continuous locomotion demo1.5 units“SOLO completed a continuous 1.5 km outdoor route using one chest mounted depth camera and proprioception crossing stairs, slopes, grass and uneven ground.”@techniahqrobot on X
Total number of trajectories collected.2,100,000 units“2.1 million trajectories”@em3kagmi on X
Number of tasks published.1,600 units“1,600+ published tasks.”@em3kagmi on X
Total trajectories in the engine.3,000,000 units“the engine on Base had reached 3 million trajectories from 123,000+ contributors.”@em3kagmi on X
Number of contributors for the engine on Base.123,000 units“from 123,000+ contributors.”@em3kagmi on X
Delivery timeline for a data center.30 hrs“Turner’s prefab arm xPL Offsite delivered a hot-aisle containment system for a 30MW rapid-deployment data center.”Dynamo Dispatch (2026/08/24) - by Santosh Sankar
Gemini Robotics ER2 units“I believe Gemini Robotics ER 2 is a clear example here.”@zhodonx on X
robot data collection50 hrs“Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.”@deepakpathak on X
Unitree H2$29,900“A 29900$ MACHINE IS DANCING ON A PAVEMENT AND NOT ONE PERSON WALKING PAST LOOKS UP.”@dredgefactory on X
entry models of Unitree H2$.“Entry models go for 13500$.”@dredgefactory on X
current humanoid BOM~$68k“Current humanoid BOM = ~$68k based on channel checks across 3 humanoid OEMs (UK and US). ”@ParadisLabs on X
actuation cost33,800 units“- Actuation = 33.8% of current BOM”@ParadisLabs on X
dextrous hands cost30,300 units“- Dextrous hands = 30.3%”@ParadisLabs on X
teleoperation for new tasks100 hrs“A new task used to mean a hundred hours of teleoperation and a training run.”@humanoidsdaily on X
time taken for the robot to autonomously run the task11 units“Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11 minutes later.”@humanoidsdaily on X
robot climbing a ladder1 units“Figure 03 can now climb a ladder fully autonomously.”@fuzzyxbt on X
sim-to-real gap1 units“A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world.”@continuumlabs_ on X
Unitree G1 humanoid robot1 units“The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track.”@spaceandtech_ on X
Atlas humanoid robot1 units“Boston Dynamics introduced their new, all-electric Atlas humanoid robot, noting its superior real-world application to previous iterations.”Why Boston Dynamics Gave Their Atlas Robot a Head
Unitree Robotics$50billion“Unitree Robotics' Shanghai IPO saw its valuation soar to $50 billion after a 460% debut surge, fueled by retail investors oversubscribing 8,000 times.”China’s Robot Boom Tests Investor Discipline
Unitree Robotics5,500 units“Last year Unitree shipped more than 5,500 humanoid robots, and together with rival AgiBot accounted for more than 70% of the roughly 13,000 humanoids shipped globally.”China’s Robot Boom Tests Investor Discipline
Unitree Robotics$250million“Revenue more than quadrupled last year to roughly $250 million, and the company is profitable — a distinction shared by almost none of its humanoid peers, foreign or domestic.”China’s Robot Boom Tests Investor Discipline
Unitree Robotics$904million“Unitree, formally Hangzhou Yushu Technology, raised 6.1 billion yuan ($904 million) and became the first humanoid robot maker listed on a mainland Chinese exchange.”China’s Robot Boom Tests Investor Discipline
robot programming1 units“If showing it once is enough, that changes both how fast a robot becomes useful and who can work with one.”@TheHumanoidHub on X
UMI and teleoperation in robotics1 units“GEN-1.5 is driving the final nail in the coffin.”@DrJimFan on X
Reflect V1.0 from Flexion Robotics.0 hrs“A robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator.”@spaceandtech_ on X
Predicted deployment of humanoid robots in homes.2,000,000,000 units“62% of that eventual 3 billion — roughly 2 billion units — end up inside homes, not factories.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Projected cost drop for humanoid robots.$17,000“falling to around $17,000 by 2030 — converging with Unitree's G1, already priced near $16,000.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Deployment of robots in BMW's manufacturing line.30,000 units“Figure's robots spent 11 months on BMW's Spartanburg line, contributing to 30,000+ vehicles.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
BMW Group production30,000 units“the Figure 02 robot supported the production of more than 30,000 BMW X3 vehicles over ten months.”Press-Information June 25th 2026
BMW Group's production capabilities with humanoid robots.30,000 units“Figure 02 supported the production of more than 30,000 BMW X3 vehicles.”BMW Group deploys Figure 03
video generation1 units“Atlas generates images and videos from one or more images with pixel-perfect camera control, outputting up to 1 minute of video at 1440p.”World Labs Atlas
Watch this Cybercab navigate through a very busy downtown Austin with hundreds of people around. You can see all the people the car sees on the screen. A lot going on and it handles it all perfectly. https://t.co/yCYHWOzZYt
11:16 PM ET
@smsehy
11:16 PM ET@smsehy
@smsehy on X
Establishing shared verification lines for advanced packaging accelerates equipment qualification cycles, helping local supply chain partners debug sub-micron bonding and cleaning tools before full production ramps. https://t.co/w0mK5hwPXu
11:16 PM ET
@smsehy
11:16 PM ET@smsehy
@smsehy on X
Scaling co-packaged optics moves the primary physical constraint from silicon photonics fabrication to precision automated fiber alignment, laser thermal stability, and high-throughput optical testing infrastructure. https://t.co/34R5fH33C4
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
Tactile dexterous hands provide high compliance, but deploying them into industrial assembly requires rigorous cycle testing to ensure flexible skin sensors and internal tendon cables survive harsh abrasive factory environments. https://t.co/WbWWApSM8A
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
The physical AI bottleneck is not token volume, but rich force-torque telemetry and tactile slip dynamics. Learning physical interaction requires real-world data pipelines that log contact physics at kilohertz sample rates. https://t.co/YoW0X7SyiX
11:12 PM ET
@smsehy
11:12 PM ET@smsehy
@smsehy on X
Crowdsourcing simulation trajectories solves high-level spatial exploration, but closing the sim-to-real gap on the plant floor requires high-rate force-torque sensor telemetry and ground-truth material compliance data. https://t.co/JPGACFLgOj
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Simulating visual environments generates kinematic diversity quickly. The persistent physical wall remains non-rigid contact mechanics and micro-slip telemetry, where synthetic physics engines diverge from actual plant floor tooling. https://t.co/XodF4KsgqV
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
255 million vehicles and global manufacturing plants already generate the physical sensor telemetry that foundation models need to learn real-world physics. Digital AI scales in datacenters, but physical AI requires industrial plants that understand ten-year hardware duty cycles. https://t.co/agvaM0yiMT
11:04 PM ET
Agility
11:04 PM ETAgility
@CapitalSqueez on X
$CCXI Jeff Bezos just followed Chris Paxton. Paxton is one of the sharpest minds in embodied AI — currently at Agility Robotics (Digit), previously Meta and NVIDIA. He lives and breathes the hard problems: sim-to-real, faster-than-demo execution, generalist robot policies, force-aware manipulation. This isn’t a random follow. Amazon already invested in Agility and ran Digit pilots in its warehouses. @agilityrobotics @HumanoidInvest @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
9:46 PM ET
Tesla
$TSLA
9:46 PM ETTesla
@SawyerMerritt on X
Under the hood of the Cybercab https://t.co/RkLn2xRUpA
6:02 PM ET
SASanctuary AI
6:02 PM ETSASanctuary AI
@TheSanctuaryAI on X
Curious how robots manipulate objects they can’t fully see? Sanctuary AI Co-Founder & Chief Engineering & Operations Officer Olivia Norton explains why touch and force feedback are critical for dexterous manipulation, especially when objects are occluded or outside a robot’s field of view. Learn more about our commercial Physical AI solutions at https://t.co/nHFy5w5pQW Recorded at the Humanoid Robot Forum during Automate 2026. #PhysicalAI #Robotics #Dexterity #Automation #AI #SanctuaryAI
6:02 PM ET
Tesla
$TSLA
6:02 PM ETTesla
@smsehy on X
65 million miles of Tesla FSD fleet data. 5% safer than human driving by their own metrics. Safety certification bodies require per-scenario validation across an ODD matrix, not fleet-aggregate statistics. ISO 26262 ASIL D qualification adds 12 to 18 months per platform. That certification pipeline, not the demo reel, sets the shipping date.
4:32 PM ET
Tesla
$TSLA
4:32 PM ETTesla
@SawyerMerritt on X
More info about @Tesla's Cybercab from the rider guide and compliance guides that they publicly released earlier today: • It has 20.2-cu ft (572-L) of rear cargo capacity. • The trunk can accommodate up to 220 lb (100 kg). • Cybercab has a very low 16.5" step-in height. • Cybercab is 55.4" tall, 69" wide (nice) and 5.7" of ground clearance. • Interior legroom is 43.4 inches. • Headroom is 38.3 inches. • Tesla says the trunk can fit 2 checked bags + 2 carry-ons. • It can fit 1 large folded stroller and 1 small folded wheelchair. • Cybercab uses Epic Games' Unreal Engine for UI. • Cybercab has…
4:27 PM ET
OPOpenAI
4:27 PM ETOPOpenAI
@techniahqrobot on X
GPT-6 Astra is here, and it might be one of the most important AI releases yet. OpenAI says the model hits 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3 and a perfect 100% on ExploitBench. It also shows big improvements in computer use, science, coding, cybersecurity and professional work. What’s really interesting for humanoid robotics is what happens when this kind of stronger reasoning gets closer to the physical world. A humanoid needs way more than just good locomotion. It has to understand instructions, make sense of cameras and sensors, plan long sequences of actions, recover when…
1:00 PM ET
DRDusty Robotics
1:00 PM ETDRDusty Robotics
@ctorobotics on X
Construction plans, printed directly onto the floor. 🤖🏗️ Meet FieldPrinter 2 from Dusty Robotics, an autonomous layout robot designed to turn digital construction models into full-scale markings directly on the jobsite slab. Instead of crews manually measuring and marking layouts, the robot can print walls, MEP penetrations, anchor points, labels, QR codes and other information from coordinated BIM or CAD models. Dusty states the system can achieve 1/16-inch (1.6 mm) layout accuracy. A simple robot solving a very real construction problem. Could robots like this become standard equipment on…
11:54 AM ET
Tesla
$TSLA
11:54 AM ETTesla
@Newsforce on X
The same activist network behind “No Kings” and other major protests is now mobilizing against data center construction and Flock license plate surveillance cameras, according to a Fox News Digital investigation and a new report. The report says organizations linked to the network have appeared across protests targeting Trump, Elon Musk, Tesla, Israel and ICE, with overlapping groups now turning their focus toward technology infrastructure and surveillance. It also highlights organizations funded by Neville Roy Singham, a Shanghai based tech billionaire whose nonprofit and media network has…
5:18 AM ET
@smsehy
5:18 AM ET@smsehy
@smsehy on X
Relying strictly on passive optical sensors leaves perception vulnerable to low-angle sun glare and heavy precipitation. True Level 4 reliability requires diverse physical sensing principles where radar and lidar provide active range verification when vision degrades. https://t.co/OZbB2HriLj
5:18 AM ET
@smsehy
5:18 AM ET@smsehy
@smsehy on X
Moving 4D millimeter-wave radar processing to satellite architectures reduces peripheral sensor bulk, but routing high-bandwidth raw point cloud streams across vehicle SerDes links demands strict real-time bus scheduling. https://t.co/DLqDmW3duI
5:15 AM ET
@smsehy
5:15 AM ET@smsehy
@smsehy on X
Virtual ECU simulation environments allow engineers to execute thousands of hours of automated fault-injection safety verification long before the first physical prototype chassis is built. https://t.co/T652KcDyWs
5:10 AM ET
@smsehy
5:10 AM ET@smsehy
@smsehy on X
Scaling purpose-built robotaxi platforms depends on reducing vehicle bill of materials while maintaining redundant low-voltage power networks and automated sensor cleaning capabilities. https://t.co/iFsEc6dg8c
5:07 AM ET
@smsehy
5:07 AM ET@smsehy
@smsehy on X
Video-to-3D simulation solves visual scene reconstruction in minutes. Bridging that into physical robotic manipulation requires grounding the synthetic physics engine in actual contact mechanics and tactile friction data. https://t.co/GVhaPrrcwQ
5:05 AM ET
@smsehy
5:05 AM ET@smsehy
@smsehy on X
Crowdsourcing browser-based teleoperation provides high-level kinematic paths. Converting those trajectories into production-grade policies still requires ground-truth joint torque feedback and high-rate tactile sensing from physical hardware. https://t.co/mPm6ZjCY5c
4:47 AM ET
RORockchip
4:47 AM ETRORockchip
@seeedstudio on X
🔥🔥NEW Launch: reComputer RK3576 Dev Kit/Module/IO Board is Officially HERE!!!! Level up your edge AI development with Rockchip #RK3576 today! 🎉 🧩🧩Dev Kit / Module / IO Board: https://t.co/xQVIT62cbw Powered by #Rockchip #RK3576 octa-core #CPU + 6 TOPS #NPU, this series delivers reliable, low-latency on-device AI inference without cloud dependency, fully empowering industrial edge intelligence, smart vision, local #LLM/#VLM, and offline speech AI applications. 💻🤖 ✅ Powerful Edge AI Performance -YOLO11 at 77.9FPS (640×640) -DeepSeek/Qwen/Whisper -8K video decoding and 4K@60fps encoding…
4:15 AM ET
@OperationsPLS
4:15 AM ET@OperationsPLS
@OperationsPLS on X
408 tactile sensors closes the dexterity gap. When robots feel force distribution, slip, and texture in real time, assembly tasks that required human hands become automatable. Haptic sensing bridges vision and manipulation. https://t.co/ejznjmDQeT
2:30 AM ET
OROrbbec
2:30 AM ETOROrbbec
@seeedstudio on X
Build an accessible #EmbodiedAI kit. 🤖 Orbbec Gemini 2 + reBot #Robotic Arm bring RGB-D perception and visual grasping into one open-source, hackable platform. Detection → Grasping Explore the build ↓ https://t.co/Y3qBRaczOh https://t.co/yusA4HEyWo
2:28 AM ET
@tphuang
2:28 AM ET@tphuang
@tphuang on X
Problem is that China is now producing so many advanced gadgets that are not available to Americans. This is not restricted to auto sector. Do Americans want to not have access to robots, AI toys, robot sweepers & action cameras? China is the only country able to make a lot of this new stuff.
5:01 PM ET
@SemiAnalysis_
5:01 PM ET@SemiAnalysis_
@SemiAnalysis_ on X
As the industry moves towards Co-Packaged and Near-Packaged Optics, the fiber attach is forced to land on the PIC itself. Fiber coupling is a very precise endeavor, with micron level precision requirements. An edge coupler wants the fiber core roughly within half a micron of the waveguide otherwise this leads to unwanted coupling losses which are unaffordable for high bandwidth throughput. This precision is brought usually with active alignment where each fiber is positioned at sub-micron accuracy (usually through signal peak calculations) and then glued down. This is however a serial process…
3:57 PM ET
XYXynova
3:57 PM ETXYXynova
@HumanoidsHQ on X
Xynova just unveiled Prima 1, an advanced robotic hand featuring 22 degrees of freedom. It uses vision and tactile sensing to interact with objects more intelligently, while its direct-drive motors allow it to move rapidly and handle loads of up to 20 kg. The progress in robotic hands is getting insane. https://t.co/coRsvqVcA0
3:09 PM ET
CACaterpillar
3:09 PM ETCACaterpillar
Caterpillar | Caterpillar and FieldAI Advance AI-Powered Industrial Innovation
- News - Corporate Press Releases - Corporate Press Release Archive - Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Leveraging robotics, digital twins and NVIDIA technologies, the collaboration helps create safer, smarter and more productive operations IRVING, Texas, Sept. 2, 2026 – As industries face growing labor shortages and increasing productivity demands, Caterpillar Inc. (NYSE: CAT) is collaborating with FieldAI to advance physical AI, autonomy and robotics that help jobsites and factories operate safer…
2:33 PM ET
https://x.com/Chrisjjosephs
2:33 PM EThttps://x.com/Chrisjjosephs
Chris Josephs on X: "We're hiring again for our growth team at @joinautopilot
> Full time UGC creator
> Experience behind the camera on socials
> NYC based
> Competitive pay + equity
> Put 'Autopilot' in bio & others will instantly try to poach you
Some stats on the team you'd join
> 3.4M X fol… / X
Post Log in Sign up Post Chris Josephs on X: "We're hiring again for our growth team at @joinautopilot \> Full time UGC creator \> Experience behind the camera on socials \> NYC based \> Competitive pay + equity \> Put 'Autopilot' in bio & others will instantly try to poach you Some stats on the team you'd join \> 3.4M X followers \> 2M IG followers \> 500K tiktok followers \> Push 75M impressions/month \> $34M ARR \> one of fastest growing RIA's in America DM me or send to a friend!" - Chris Josephs @Chrisjjosephs We're hiring again for our growth team at @joinautopilot \> Full time UGC…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
@NVIDIARobotics on X
🤖 A robot policy can be compact enough to run onboard and fast enough to keep the arm moving continuously. Post-trained NVIDIA Cosmos 3 Edge on NVIDIA Jetson AGX Thor T5000 generates roughly 2.13 seconds of robot motion in about 1.53 seconds, then replans from fresh camera and robot-state observations. Developers can test the same policy in closed-loop RoboLab simulation across 120 language-conditioned manipulation tasks before evaluating on hardware.
11:54 AM ET
XSX Square Robot
11:54 AM ETXSX Square Robot
@TheHumanoidHub on X
X Square Robot has introduced TwinDEX: a co-designed pair of three-finger, 9-DoF dexterous hands, one wearable for data collection, one matched robot end effector for deployment. The wearable and the robot hand share the same kinematics, geometry, materials, look, and sensors, so human demos map straight to the robot without retargeting. Human data collection improves throughput 5.3x compared to teleoperation, and a policy can be trained with a few hundred episodes without any robot data.
11:26 AM ET
NVIDIA
$NVDA
11:26 AM ETNVIDIA
@MilkRoadAI on X
Sam Altman is saying that OpenAI plans to build a humanoid robot, along with other designs because the world around us was built for humans (Save this). Doors, stairs, computers, tools, kitchens, vehicles, and factory equipment are all designed around the human body, a robot with a similar shape could therefore perform useful tasks without requiring people to redesign the entire world. His bigger vision is that one day, everyone could have a personal robot that handles the jobs they do not want to do like cleaning, carrying things, operating equipment, helping elderly people, or completing…
11:10 AM ET
@OperationsPLS
11:10 AM ET@OperationsPLS
@OperationsPLS on X
The supply chain gap in UxV and robotics components is a structural opportunity that policy alone can't close quickly. Domestic actuator, sensor, and compute supply chains take years to build — the companies solving that layer are the real infrastructure play. @davidcao01
11:01 AM ET
Agility Robotics
11:01 AM ETAgility Robotics
Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. #Agility #DigitRobot 00:00 View media 11:01 AM · Sep 2, 20261.6KViews 5 2 29 - cyberprince…
9:43 AM ET
NVIDIA
$NVDA
9:43 AM ETNVIDIA
@techniahqrobot on X
We’re cooked if robots can start learning from bodies they don’t even have. NVIDIA Brown Columbia and Harvard researchers released Hydra-0, a world model that represents robot actions as pixel motion. It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems. Instead of tying an action to one specific robot body, Hydra-0 predicts how objects should move in the image. The team also tested it on a real 14-DoF YAM robot, which bent a flexible pipe from a desired object motion. This is still a controlled…
9:00 AM ET
@RoboPapers
9:00 AM ET@RoboPapers
@RoboPapers on X
Embodied AI is exploding, and it’s been amazing to learn about it with you all. We have now recorded over a hundred discussions with the best researchers in the world on embodied artificial intelligence and robotics, covering topics like scaling robot learning, humanoid whole body control, tactile sensors, sim-to-real, and so much more. For our hundredth episode, we brought on our newest co-host, @ruijie_sg, to ask us what we’ve seen and learned in the first hundred episodes. Which were our most-watched episodes? Which institution shows up the most? Who was our most frequent guest? What did…
4:00 AM ET
Unitree Robotics
4:00 AM ETUnitree Robotics
Humanoid Digest: August 2026 | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal Humanoid Digest: August 2026 Color theme: Another major robotics company reached the public markets as investment and company formation continued across the sector. .png) August 28, 2026 Category: Physical AI Read time: 11 minutes Share This: Unitree became the latest robotics company to go public in August, giving investors another public benchmark for valuing the sector. As more robotics companies mature outside private funding, public markets are beginning to play a larger role in how the industry is financed and valued. The…
10:31 PM ET
ZIZiNovaLabs
10:31 PM ETZIZiNovaLabs
LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows.
@ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, includi… / X
Post Log in Sign up Post LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows. @ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, including formwork assembly, multi-layer rebar placement and tying. TRON 2 serves as a modular and extensible embodied robotic platform for multi-tool, multi-step tasks across large workspaces. Its dual arms handle construction tools and materials across different orientations and…
8:00 PM ET
NHNorbert Health
8:00 PM ETNHNorbert Health
Norbert Health Raises US$14 Million Series A for Autonomous Robotic Nursing Assistants
Norbert Health, a Brooklyn-based company that turns robotic hardware into autonomous nursing assistants, raised a US$14 million Series A announced September 1, 2026. The round was led by William A. Marino with Cardinal Group, with participation from Exor Seeds and CareIT, and an angel roster that includes Datadog co-founders Alexis Le-Quoc and Olivier Pomel, Noom co-founder and executive chairman Saeju Jeong, and Owkin chief executive Thomas Clozel. The financing brings total capital raised to US$19 million. The company, led by co-founder and chief executive Alexandre Winter, sells a control…
8:00 PM ET
NHNorbert Health
8:00 PM ETNHNorbert Health
Norbert Health Raises US$14 Million Series A for Autonomous Robotic Nursing Assistants
Norbert Health, a Brooklyn-based company that turns robotic hardware into autonomous nursing assistants, raised a US$14 million Series A announced September 1, 2026. The round was led by William A. Marino with Cardinal Group, with participation from Exor Seeds and CareIT, and an angel roster that includes Datadog co-founders Alexis Le-Quoc and Olivier Pomel, Noom co-founder and executive chairman Saeju Jeong, and Owkin chief executive Thomas Clozel. The financing brings total capital raised to US$19 million. The company, led by co-founder and chief executive Alexandre Winter, sells a control…
7:22 PM ET
TITeradyne Inc
7:22 PM ETTITeradyne Inc
Value Investing Edge on X: "8. $TER | Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." / X
Post Log in Sign up Post Value Investing Edge on X: "8. $TER \| Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." - Value Investing Edge @StonkValue 16h $NVDA just said Physical AI could be 1,000% bigger than Digital AI. 10 best growth stocks to build a Robotics portfolio: 1\. $UMAC \| Positioned as a domestic supply-chain play for commercial and defense drones. Builds U.S.-made drone components. Q2 2026 revenue reached $16.7M, Show more - \\ \\…
7:00 PM ET
NVIDIA
$NVDA
7:00 PM ETNVIDIA
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
From Robot Development to Deployment with Isaac GR00T & Jetson Thor Visibility: Public Uploaded by: NVIDIA Omniverse Uploaded at: 2026-08-27 Published at: 2026-08-26 Length: 1:17:39 Views: 12267 Likes: 131 Category: Science & Technology Description Transcript [music] We're coming in hot. [laughter] This live stream is off the hook. You guys are really going to love this one. As you can see, right next to me, we've got a nice little stage uh camera set up with a nice little uh little robot setup. We're going to go into that a little bit later, but I'm so happy for you to join us. Welcome to…
7:00 PM ET
Nvidia
$NVDA
7:00 PM ETNvidia
Noble Machines Accelerates Humanoid Robot Development 3X | NVIDIA
Manufacturing \| Robotics Noble Machines Accelerates General Purpose Industrial Robot Development With NVIDIA Isaac GR00T Learn More Objective Noble Machines is advancing industrial robot development with the Moby general-purpose industrial robot and its supporting software stack, including a proprietary AI driven whole-body-control system. Moby is designed for complex, hazardous, and labor-intensive work across factories, logistics centers, construction sites, and semiconductor facilities, where operating reliably requires advanced perception, reasoning, adaptation, and physical interaction.…
6:07 PM ET
@drfeifei
6:07 PM ET@drfeifei
@drfeifei on X
@DrJimFan @theworldlabs Indeed Jim, a camera conditioned world model with spatial context has so much horizontal usage including real2sim for robotics!
2:09 PM ET
NMNoble Machines
2:09 PM ETNMNoble Machines
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in From Robot Development to Deployment with Isaac GR00T & Jetson Thor Tap to unmute 2x From Robot Development to Deployment with Isaac GR00T & Jetson Thor NVIDIA Omniverse 12,267 views Streamed 7d ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV…
2:09 PM ET
Nvidia
$NVDA
2:09 PM ETNvidia
Seeed reBot Arm B601-RS: Physical AI & VLA Model Course | NVIDIA DLI Series
Warehouse China Warehouse US Warehouse Germany Warehouse The store will not work correctly in the case when cookies are disabled. US Warehouse: Enjoy FREE UNIUNI shipping on orders under $50! (Excludes XIAO & Raspberry Pi series) \\ \\ the AI Hardware Partner For Industry Products Local Warehouse Documents Customization Solution Software Support Open Claw Quick Order Account Get more with a SeeedStudio accountclear \\ \\ 1 on 1 Support \\ \\ Local Delivery \\ \\ 30-Day DOA Guarantee \\ \\ 30-Day Returns Sign In Create Account My Orders\\ Track, change, cancel Account Information\\ Update…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch.
This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." / X
Post Log in Sign up Post World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch. This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." - World Labs @theworldlabs 12h Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time. 00:00 View media 330…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
Atlas: A World Model for Spatial Intelligence | World Labs
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…
11:12 AM ET
Tesla
$TSLA
11:12 AM ETTesla
@MilkRoadAI on X
Elon Musk thinks humanoid robots could become a bigger industry than almost anyone expects (Save this). @elonmusk said the usefulness of a humanoid robot depends on three factors, the quality of its artificial intelligence software, the performance of its onboard chip and the dexterity of its mechanical systems, especially its hands. Because all three areas are improving rapidly, even small advances could multiply together and make robots significantly more capable over time. Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle…
11:09 AM ET
@OperationsPLS
11:09 AM ET@OperationsPLS
@OperationsPLS on X
The get-up is the right metric. Recovery from falls under contact stress reveals actuator limits and balance policy robustness in ways clean demos never expose. China building a sport format around this is genuinely useful stress-testing. @0_x_Bender
3:53 AM ET
https://x.com/ChongZzZhang
3:53 AM EThttps://x.com/ChongZzZhang
C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Paper https://t.co/LlrDsajHqx
Videos https://t.co/jXLtG68oUg
We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." / X
Post Log in Sign up Post C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper https://t.co/LlrDsajHqx Videos https://t.co/jXLtG68oUg We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." - C. Zhang @ChongZzZhang New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper arxiv.org/pdf/2608.29769 Videos nemantor.github.io/sparse-3d-trav… We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles.…
9:50 PM ET
Gemini Robotics
$GOOGL
9:50 PM ETGemini Robotics
大仏ヨヨ on X: "Gemini Robotics ER 2を試してみたけど結構いいね。リアルタイムでOpenDuckMiniを追跡させてみたけどレスポンスは想定していたより悪くはなかった。どういうロボットかまで判別できているのが良かった。これ以外の機能もあるのでもう少し深堀しようと思う。
#OpenDuckMini,#microduckと同じ作者" / X
Post Log in Sign up Post 大仏ヨヨ on X: "Gemini Robotics ER 2を試してみたけど結構いいね。リアルタイムでOpenDuckMiniを追跡させてみたけどレスポンスは想定していたより悪くはなかった。どういうロボットかまで判別できているのが良かった。これ以外の機能もあるのでもう少し深堀しようと思う。 \#OpenDuckMini,\#microduckと同じ作者" - 大仏ヨヨ @U6kcXA6yRN47345 Gemini Robotics ER 2を試してみたけど結構いいね。リアルタイムでOpenDuckMiniを追跡させてみたけどレスポンスは想定していたより悪くはなかった。どういうロボットかまで判別できているのが良かった。これ以外の機能もあるのでもう少し深堀しようと思う。 #OpenDuckMini, #microduckと同じ作者 00:00 View media 9:50 PM · Aug 31, 2026721Views Reply 1 12 4
9:00 PM ET
Skild AI
9:00 PM ETSkild AI
@XSeyvion on X
Skild AI unveiled its S1 robot foundation model. They say a robot can learn a new task by watching a video of the task. That changes deployment. Instead of writing a fresh program for each job, an operator can demonstrate once and then ask the robot to repeat it. If the long tail of tasks becomes video based training, the fight shifts to safety checks that run before the robot touches the world. What task would you try first?
8:00 PM ET
Google
$GOOGL
8:00 PM ETGoogle
Introducing Agentic Video in Gemini
Introducing agentic video understanding with Gemini Sep 01, 2026 \| 7 min read - x.com - Facebook - LinkedIn - Mail - Copy link Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. Rohan Doshi Senior Product Manager, Google DeepMind Mario Lučić Research Director, Google DeepMind Share - x.com - Facebook - LinkedIn - Mail - Copy link Your browser does not support the audio element. Listen to article \[\[duration\]\] minutes This content is generated by Google AI. Generative AI is experimental…
6:19 PM ET
PAPerceptron AI
6:19 PM ETPAPerceptron AI
@techniahqrobot on X
A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it. Perceptron AI has released Isaac 0.5, an open-weight Embodied AI model designed to use one backbone to understand video, reason about a physical task, and generate robot actions. One model connecting perception, reasoning, and robot control. @perceptroninc
5:00 PM ET
TUThe University of Hong Kong
5:00 PM ETTUThe University of Hong Kong
The Imitator Game — Benchmarking Robot Imitative Ability Beyond Action Prediction
Intent imitation, L0-L320,000+ paired episodesHuman evaluation Arena The Imitator Game BenchmarkingRobotImitativeAbilityBeyondActionPrediction Xunzhe Zhou 1,2,\,† · Yiyang Cai 2,3,\ · Fengyi Wang 2,3,\ · Ran Ju 1,2,\ · Hanxiang Ren 2,4 · Ruizhe Liu 1 Yu Zhang 1 · Qian Luo 1,2 · Feng Chen 1 · Pei Zhou 1,2 · Yi Ma 1,2 · Yanchao Yang 1,2,‡ 1The University of Hong Kong · 2TranscEngram · 3Fudan University · 4Zhejiang University \\ Equal contribution · † Project lead · ‡ Corresponding author Can a robot imitate what a human intends — not just what they do? We widen the gap between the demonstration…
4:42 PM ET
boston-dynamics
4:42 PM ETboston-dynamics
@pepse02 on X
Degrees of Freedom (DoF) is a key indicator which shows how many independent ways a robot can move, determining its flexibility and precision. $XPEV is leading by far here. XPeng (IRON): 82 DoF (‼️) Tesla (Optimus): 50 – 72 DoF Boston Dynamics (Electric Atlas): 50 DoF UBTECH (Walker S1): 41 – 52 DoF Figure (Figure 02): 35 DoF Unitree (G1 / H1): 23 – 43 DoF
2:46 PM ET
Tesla
$TSLA
2:46 PM ETTesla
Sawyer Merritt on X: "Here we go! Tesla has just added another 38 Cybercabs to its Robotaxi fleet, bringing the total up to 45, according to the Texas DMV.
Robots on robots on robots! This Thursday's launch event is gonna be awesome🤖🤖🤖" / X
Post Log in Sign up Post Sawyer Merritt on X: "Here we go! Tesla has just added another 38 Cybercabs to its Robotaxi fleet, bringing the total up to 45, according to the Texas DMV. Robots on robots on robots! This Thursday's launch event is gonna be awesome🤖🤖🤖" - Sawyer Merritt @SawyerMerritt Here we go! Tesla has just added another 38 Cybercabs to its Robotaxi fleet, bringing the total up to 45, according to the Texas DMV. Robots on robots on robots! This Thursday's launch event is gonna be awesome🤖🤖🤖 View media View media 2:46 PM · Aug 31, 2026448.2KViews 211 504 6K 217 - Sawyer…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:21 PM ET
Unitree
1:21 PM ETUnitree
@techniahqrobot on X
Unitree just started Olly’s pre-employment internship in the real world 😅 And day one already looks like a proper probation period. It can answer train questions, find exits and walk with passengers inside Singapore’s Little India MRT, but station noise already caused it to mishear Tekka Centre as Teacher’s Centre and give the wrong directions. A useful reminder that real-world deployment is much harder . Source: CNA / Land Transport Authority Singapore
1:19 PM ET
SMSMRT
1:19 PM ETSMSMRT
@fieldai_ on X
A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot. It patrols autonomously with infrared sensing, checking buses and EV charging bays for abnormal heat so the safety team gets an early warning instead of an incident. Congratulations to SMRT on the launch of their new Mobility Command and Control Centre.
Live campaign Signal Boost Campaign Connect your X account and follow @axisrobotics — your badge lights up as soon as we see the follow. Connect →+1 PTS · credited instantly Total Trajectories 4,794,179 Total Users 196,995 7D New Tasks 494 Transactions 4,400,783 Live campaignBinance Keyless Wallet × Axis exclusive campaign View → For newbies6 newbie training tasks · unlimited slotsPractice only — not scored, earns no points.\\ Show tasks → All Tasks Every task progresses from Pre-training through Training to Post-training Live All▼ Filters0 Default▼ AllTo doDone TaskLifecycleDifficultySlots…
12:41 PM ET
TEtechnia
12:41 PM ETTEtechnia
@techniahqrobot on X
Humanoid robotics has its own language. Here are 30 acronyms you will see constantly API = Application Programming Interface BC = Behavior Cloning CoM = Center of Mass CoP = Center of Pressure DoF = Degrees of Freedom DRL = Deep Reinforcement Learning F/T = Force/Torque FK = Forward Kinematics GRF = Ground Reaction Force HIL = Hardware-in-the-Loop HRC = Human-Robot Collaboration HRI = Human-Robot Interaction IK = Inverse Kinematics IL = Imitation Learning IMU = Inertial Measurement Unit LiDAR = Light Detection and Ranging LLM = Large Language Model MPC = Model Predictive Control RGB-D = RGB +…
12:05 PM ET
Fourier Intelligence
12:05 PM ETFourier Intelligence
@rich_odinn on X
SoftBank dropped $200,000,000 on this company - and this 15-second interaction proves why Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen. This isn't CGI, it's live physical AI targeting a massive eldercare crisis. 3 high-octane truths behind this clip: Sub-Gram Force Feedback: Supporting a fragile arm without injury requires real-time tactile compliance, recalculating grip pressure millions of times per second. SoftBank & Aramco Backed: Fourier raised over $200M to build autonomous care-bots before global birth rates…
9:25 AM ET
VAVeeda AI
9:25 AM ETVAVeeda AI
Veeda AI Raises $90M Seed to Build "The Matrix" for Physical AI - WOWTALE
Skip to content - AI - · - Funding - · - Robotics Veeda AI Raises $90M Seed to Build “The Matrix” for Physical AI 8/31/2026 ・ 버섯돌이(Taehyun Kim) Training a robot to master a new motion takes thousands of trial-and-error attempts. The trouble is doing that training in the real world at all — robotic hardware doesn’t scale like compute, a single bad move can cause real physical harm, and real-world experience can’t be compressed or run in parallel. A startup betting it can solve that bottleneck with simulation just closed one of the largest seed rounds a Canadian company has ever raised.…
8:57 AM ET
MRMilk Road Pro
8:57 AM ETMRMilk Road Pro
@MelvinInvests on X
The next memory supercycle is hiding inside humanoid robots (Save this). This chart estimates that each humanoid robot could contain $600–$800 or more in memory related and semiconductor components, including DRAM, HBM, NAND flash, sensors, communication chips, and other devices. If manufacturers eventually produce 1 million humanoid robots, that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity. However, the larger opportunity may come from the data centers that train these robots and process…
7:05 AM ET
Boston Dynamics
7:05 AM ETBoston Dynamics
@clavion95 on X
THIS ISN’T A ROBOT LEARNING TO DANCE. IT’S A ROBOT LEARNING HOW TO CONTROL ITS ENTIRE BODY. Walk. Run. Crawl. Roll. Handstand. Cartwheel. Then get back up and keep moving. Boston Dynamics trained Atlas using reinforcement learning, with human motion capture and animation as references. The flashy part is the acrobatics. That’s not the important part. The important part is everything happening between them. Accelerate. Decelerate. Shift balance. Drop to the floor. Recover from an awkward position. Reorient the body. Keep moving. Humans solve these problems without thinking. For a humanoid,…
6:51 AM ET
0X0xconglomerate
6:51 AM ET0X0xconglomerate
@0xconglomerate on X
$1 million in sales in under SEVEN hours, is the Microduck really that impressive? Here are other affordable open-source robots for context (+ my thoughts): ▸ @LeggedRobot Mini Pupper 2 (~$649): ROS2, SLAM/navigation, quadruped ▸ @ROBOTIS MINI (~$500): 16-DoF humanoid, smart servos, full-body motions ▸ @PetoiCamp Bittle X (~$319): cheapest option, self-balancing quadruped, beginner-friendly ⭐️@pollenrobotics + @huggingface releases: ▸ Reachy Mini ($399–499): vision + voice interaction, expressive head, AI assistant focus ▸ Microduck ($399): learned biped walking, onboard AI policies (out of…
6:09 AM ET
GSGoldman Sachs
6:09 AM ETGSGoldman Sachs
@ParadisLabs on X
Goldman Sachs: Humanoids and memory Memory is expected to be up to 40% of semiconductor dollar content for humanoid robots (excluding GPU/CPUs). Goldman Sachs: Although content can vary, we assume an average system (DRAM) memory of about 128GB for a single humanoid unit, with a non-volatile (NAND) memory of about 1TB. Based on an assumed system memory of 128GB and a non-volatile memory capacity of approximately 1TB, we see a SAM range of between $250-$350 for DRAM and $350-$450 for NAND, for a total memory SAM of between $600-$800 or more per unit. Given the significant edge compute workloads…
4:46 AM ET
@smsehy
4:46 AM ET@smsehy
@smsehy on X
Tendon-driven actuation solves thermal mass and packing density in dexterous hands, but cable stretch over 10,000 continuous cycles destroys sub-millimeter precision. Modeling hysteresis in simulation helps, but physical calibration routines on the plant floor remain mandatory. https://t.co/8CjrAjWCds
2:31 AM ET
MGMinth Group
2:31 AM ETMGMinth Group
Minth Group Launches Europe’s First Mass Production of Humanoid Robots
VESTI Poslednje vesti Jiangsu Reliance Energy Tech: 100,5 miliona ... Aug 31, 2026 Minth Group pokrenuo prvu serijsku ... Aug 29, 2026 RAS: Snažnija ekonomska saradnja ... Aug 26, 2026 Otvoren Javni poziv za srpske ... Aug 10, 2026 Investiciona misija u Šandongu i ... Jul 16, 2026 Srpske IT kompanije ostvarile zapaž... Jul 07, 2026 Novi poslovni kontakti za srpske ... Jun 30, 2026 Mentori iz cele Srbije okupili ... Jun 25, 2026 Minth Group Launches Europe’s First Mass Production of Humanoid Robots Aug 29, 2026 Šabac to become a European production base for mass-produced humanoid robots…
12:25 AM ET
SASanctuary AI
12:25 AM ETSASanctuary AI
Physical AI Platform | Industrial Automation Solutions | Sanctuary AI
We value your privacy We use cookies to enhance your browsing experience, serve personalised ads or content, and analyse our traffic. By clicking "Accept All", you consent to our use of cookies. CustomiseReject AllAccept All Customise Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
11:48 PM ET
Unitree Robotics
11:48 PM ETUnitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Unitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Brushless Motor Long Life, Low Inertia, High Speed, Force Control - Temperature and Position Sensors - Precision Gearbox (Backdrivable) - Highly Integrated - High Power, High Speed - High-Speed Communication - Model Max (Stall) Torque Torque Opposite to Speed Direction Baud Rate Max (No-Load) Speed No-Load Current - J288 1.5Nm J288 6,000,000bps J288 35rad/s (334rpm)@25.2V / 16.5rad/s (157rpm)@12V J288 0.45A@25.2V 0.27A@12V - S288 0.6Nm S288 6,000,000bps S288 16.5rad/s (157rpm)@12V S288 0.27A@12V Control…
9:26 PM ET
1X
9:26 PM ET1X
@QuasarShift on X
🚨 WHEN ENGINEERS ARE ALLOWED TO COOK - THIS ROBOT HAND HAS 22 DEGREES OF FREEDOM 1X's NEO humanoid hand, tendons moving like human muscles, picking up everything from eggs to tools 🤖✋ What most don't know: NEO hand = 22 motors, force sensors in each fingertip, learns by watching humans - not coding. 1X wants this in your home by 2026-27 to fold laundry, do dishes. That "cook" joke is real - engineers finally freed from industrial robot cages. Your next roommate might have this hand.
1:00 PM ET
GAGalbotRobotics
1:00 PM ETGAGalbotRobotics
@ctorobotics on X
Humanoid robots just took tennis to another level. 🎾🤖 Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time. This is not just about hitting a tennis ball. It combines vision, prediction, balance, whole-body control and real-time decision making. Would you play against a humanoid robot? 👀 🎥 Media: @GalbotRobotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the…
12:10 PM ET
Tesla
$TSLA
12:10 PM ETTesla
kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons.
His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once… / X
Post Log in Sign up Post kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons. His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once in an entire career. That could make expert care available in places where finding a specialist is difficult or impossible. It also raises a question almost everyone can understand. When your life is on the line, do you trust the experienced human standing beside you, or the…
11:07 AM ET
Boston Dynamics
11:07 AM ETBoston Dynamics
@KaptanHindustan on X
Boston Dynamics' new Atlas robot is getting uncomfortably close to science fiction. 🤖😳 It doesn't just walk anymore. It twists, bends, lifts, carries, recovers from falls, manipulates objects, and moves with a fluidity that looks almost unnatural. Unlike humans, some of its joints can rotate in ways our bodies simply can't. A few years ago, robot videos looked impressive. Now they look like a warning. 🚨 The craziest part? Atlas is no longer just a lab experiment. Boston Dynamics is already manufacturing production-ready versions for real-world industrial work. At this rate, the question…
7:01 AM ET
SASanctuary AI
7:01 AM ETSASanctuary AI
Sanctuary AI puts humanoid tech on industrial robots
Skip to content Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5% and a 2.54 second cycle time. The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier. The result came from 313 insertion trials conducted over 40 minutes, CEO Daniel Friedmann told Forbes. Sanctuary calculated the success rate by comparing successful and unsuccessful insertions. Friedmann said the cycle time was…
2:37 AM ET
Unitree Robotics
2:37 AM ETUnitree Robotics
Hack One Robot, Reach the Next: How Unitree’s G1 Left the Door Open to Root Takeover | Humanoids Daily
Search articles Key Takeaways Show all - Security researcher Olivier Laflamme disclosed UniBLEed, an exploit chain yielding unauthenticated root execution on the Unitree G1 EDU humanoid robot over Bluetooth. - The attack bypassed security boundaries by abusing an authorization gap in Unitree’s cloud backend, which decrypted device-specific cryptographic keys for any registered user. - Root access grants complete control over the robot’s primary Locomotion PC, which governs real-time balance, motor trajectory, depth sensors, and audio-visual feeds. - The research demonstrated potential…
1:09 AM ET
STStellarix
1:09 AM ETSTStellarix
Stellarix on X: "This machine places 30,000 components PER HOUR 🤖
It's a pick-and-place robot building space-grade PCBs in Shenzhen. The blue boards look simple, but every single chip you see gets laser-checked for micron accuracy. This is how modern rockets, satellites, and rovers get their brai… / X
Post Log in Sign up Post Stellarix on X: "This machine places 30,000 components PER HOUR 🤖 It's a pick-and-place robot building space-grade PCBs in Shenzhen. The blue boards look simple, but every single chip you see gets laser-checked for micron accuracy. This is how modern rockets, satellites, and rovers get their brains 🧠" - Stellarix @Stellarixorine This machine places 30,000 components PER HOUR 🤖 It's a pick-and-place robot building space-grade PCBs in Shenzhen. The blue boards look simple, but every single chip you see gets laser-checked for micron accuracy. This is how modern…
6:18 PM ET
Tesla
$TSLA
6:18 PM ETTesla
@davidcao01 on X
The Supply Chain Shortage for UxV and Robots: Who Is Filling the Gap? Top 20 Components to Watch | New suppliers from Mexico, Taiwan, Japan, Korean | The VC and Entrepreneurs Angle Two weeks apart, two separate US policy actions closed off the low-cost path into American drone and robotics hardware. July 28, the FCC added foreign-made "advanced robotic devices" — humanoids, quadrupeds — to its Covered List, blocking new authorizations. August 13, the White House used Section 232 to impose tariffs of up to 100% on Chinese-made drones and their components.📷 Neither move is really about drones…
3:01 PM ET
Figure
3:01 PM ETFigure
@IntEngineering on X
Figure founder Brett Adcock has posted video of the company's humanoid climbing 15 feet up a ladder and 15 feet back down with no human input, three weeks after its first autonomous ladder climb. Figure credits its Helix AI system, whose System 0 layer runs balance and contact control a thousand times a second using stereo camera vision alongside the robot's own sense of body position. Figure has not released the technical details and the demonstration has not been independently verified.
10:56 AM ET
@santoshsingh1
10:56 AM ET@santoshsingh1
@santoshsingh1 on X
4/11 – What is the key question: ❌ Which humanoid robot will win? Tesla? Unitree? Figure? Someone else? ➡️What does EVERY humanoid robot need? Because the winner may change. The supply chain doesn't. Actuators can potentially represent ~40–60% of a humanoid's BOM. And inside the actuator? Gearbox Motor Driver Bearings Sensors Go one level deeper. The gearbox itself can represent roughly 30–50% of actuator cost. So the investment trail starts looking like: Robot → Actuator → Gearbox Follow the value.
10:03 AM ET
@Olivier__OG
10:03 AM ET@Olivier__OG
@Olivier__OG on X
𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧: 𝑾𝒉𝒂𝒕 𝑨𝑰 𝒍𝒐𝒐𝒌𝒔 𝒍𝒊𝒌𝒆 🥽 Xiaomi is testing humanoid robots inside its EV factory. Not on a stage. On the production floor. One robot handles components and folds storage boxes. Another robot captures the work from inside the factory. That may look simple. It is not. Factories are unforgiving environments. A lab can tolerate repeated failure. A production line cannot. That is why this matters. Material handling. Sorting. Logistics support. Box folding. Component movement. Routine industrial tasks. These are the jobs where humanoids may first create value. Not by…
9:28 AM ET
@techniahqrobot
9:28 AM ET@techniahqrobot
@techniahqrobot on X
BeyondMimic is now in Science Robotics. Berkeley and Stanford used a Unitree G1 to track human motions like sprinting, spin-kicks and cartwheels, then used guided diffusion to combine those skills for waypoint navigation and obstacle avoidance. mocap is still used for obstacle and waypoint locations, plus some state estimation. Humanoid agility is advancing fast. How much of it still depends on external sensing infrastructure? #HumanoidRobots #Robotics #PhysicalAI
9:26 AM ET
@techniahqrobot
9:26 AM ET@techniahqrobot
@techniahqrobot on X
BeyondMimic is now in Science Robotics. Berkeley and Stanford used a Unitree G1 to track human motions like sprinting, spin-kicks and cartwheels, then used guided diffusion to combine those skills for waypoint navigation and obstacle avoidance. mocap is still used for obstacle and waypoint locations, plus some state estimation. Humanoid agility is advancing fast. How much of it still depends on external sensing infrastructure? #HumanoidRobots #Robotics #PhysicalAI
8:00 AM ET
Boston Dynamics
8:00 AM ETBoston Dynamics
PrismaX on X: "Why is every humanoid robot child-sized?
The assumption is cost or safety. Austin Brown's answer is thermal. Surface area to volume worsens as you scale, and heat moves worse through longer limbs." / X
Post Log in Sign up Post PrismaX on X: "Why is every humanoid robot child-sized? The assumption is cost or safety. Austin Brown's answer is thermal. Surface area to volume worsens as you scale, and heat moves worse through longer limbs." - PrismaX @PrismaXai Why is every humanoid robot child-sized? The assumption is cost or safety. Austin Brown's answer is thermal. Surface area to volume worsens as you scale, and heat moves worse through longer limbs. 00:00 View media 8:00 AM · Aug 29, 20266.1KViews 13 8 90 1 - PrismaX @PrismaXai Aug 29 Why Robots Overheat, with Austin Brown of…
7:46 AM ET
LILightberry
7:46 AM ETLILightberry
Lightberry Unveils Lumi: A $40k Interactive Humanoid Built on a Unitree Core | Humanoids Daily
Search articles Lightberry designed Lumi with a rounded, character-driven aesthetic and animated digital eyes, aiming to make social humanoids feel approachable. Key Takeaways Show all - San Francisco startup Lightberry has launched reservations for Lumi, a $39,990 bipedal robot aimed at commercial entertainment, marketing, and developer deployments. - While mechanically derived from the Unitree G1 platform, Lumi replaces stock components with custom sensors, an 8-microphone beamforming array, and an NVIDIA Jetson Thor T4000 compute module. - Lightberry confirmed to Humanoids Daily that its…
6:01 AM ET
HYHyundai
6:01 AM ETHYHyundai
South Korea Commits KRW 2.3 Trillion to Build Full-Stack Humanoid Robotics Ecosystem by 2030 | Humanoids Daily
Search articles Key Takeaways Show all - Dedicated Humanoid Capital: South Korea is investing KRW 2.3 trillion ($1.66 billion) through 2030 to build an indigenous, full-stack humanoid robotics industry, backed by an additional KRW 2.8 trillion ($2.0 billion) for field verification. - Aggressive Localization Targets: The plan seeks to raise domestic localization of core humanoid components from 45% to 80%, transitioning legacy auto parts manufacturers into precision robotics suppliers. - State Procurement Pipeline: The government will purchase 1,080 humanoid robots and roughly 5,000 total…
4:12 PM ET
Gemini Robotics
$GOOGL
4:12 PM ETGemini Robotics
@csentropy on X
Announced July 30, 2026 (author Carolina Parada) as part of Gemini Robotics 2, three models: Gemini Robotics 2 (VLA) converts vision+language into motor control first DeepMind VLA to control a full humanoid feet-to-fingertips under one checkpoint. Partner-only. Gemini Robotics ER 2 (VLM) the embodied-reasoning brain; publicly available. Gemini Robotics On-Device 2 (VLA) runs locally, adapts to new embodiments in a few hours. Partner-only.
4:00 PM ET
NVIDIA
$NVDA
4:00 PM ETNVIDIA
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
1:30 PM ET
@du_maximilian
1:30 PM ET@du_maximilian
MemoryAnchors
01 · Continual Learning Challenge Data Sensitivity in Continual Robot Learning To understand Memory Anchors, we first need to take a closer look at why robot policies forget old tasks when learning new ones. Sequential Task Learning We explore the problem setting of imitation learning on tasks in sequence. Drag the slider to step through ten tasks. The horizontal axis is the learning progress, and the vertical axis is the evaluated tasks. The lighter the off-diagonal elements, the worse the forgetting. ER buffer size 0.5% (Tiny)1% (Small)5% (Medium) Training stage 12345678910 Stage 5 of 10…
10:56 AM ET
GEGeneralist
10:56 AM ETGEGeneralist
@chris_j_paxton on X
In-Context Learning Results Hint at a “GPT Moment” for Robotics For general-purpose robots to be useful and economical, you need to be able to teach them new skills on the fly. And now we can see how this will work, with in-context long horizon video demonstrations shown by companies like Generalist, Skild, Rhoda, Rhoda, and RobbyAnt. The idea is simple: prompt with a demonstration, mixed video and proprioception information. Language isn't enough -- it doesn't specify the problem well enough. And it's starting to really work. more in blog post
3:24 AM ET
@techniahqrobot
3:24 AM ET@techniahqrobot
@techniahqrobot on X
This might be one of the strongest humanoid locomotion demos yet. SOLO completed a continuous 1.5 km outdoor route using one chest mounted depth camera and proprioception crossing stairs, slopes, grass and uneven ground. No external localization or mapping. The same locomotion tech was used on Tiangong Omni at the 2026 World Humanoid Robot Games. @Xhumanoid_BJ #HumanoidRobot #Robotics #EmbodiedAI #Tiangong
1:43 AM ET
ARAxis Robotics
1:43 AM ETARAxis Robotics
@em3kagmi on X
Many People believe Physical might be unachievable not because robots lack arms or GPUs rather, because robots do not have enough real training data. Normal AI LLM can train on text that already exists on the internet but Robots cannot. A robot needs recordings of physical actions like how an arm moves, how a grasp starts to slip, or how an object sits at a slightly different angle. That data is expensive to collect in a lab, slow to produce, and usually too clean to match the real world. @axisrobotics approaches this differently by using a distributed network to collect physical interaction…
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in 【中国製人型ロボットを分解】「Unitree G1」の構造を徹底分析｜人の動きをどう再現？｜高い運動能力の秘密 Tap to unmute 2x 【中国製人型ロボットを分解】「Unitree G1」の構造を徹底分析｜人の動きをどう再現？｜高い運動能力の秘密 日経クロステック【公式】 381,092 views 1 month ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this,…
6:18 PM ET
@Kirkland_Ellis
6:18 PM ET@Kirkland_Ellis
Foreign-Produced Advanced Robotic Devices and Certain Foreign-Produced Power Inverters Added to FCC Covered List | Publications | Kirkland & Ellis LLP
Top The Federal Communications Commission (FCC) has added foreign-produced advanced robotic devices and certain foreign-produced power inverters to its list of equipment and services that have been determined to pose “an unacceptable risk to the national security of the United States or the security and safety of United States persons” (the Covered List). Equipment on the Covered List cannot receive a new FCC equipment authorization, whether through certification or the Supplier’s Declaration of Conformity process. Because most electronic devices require FCC equipment authorization before…
3:04 PM ET
@TheSanctuaryAI
3:04 PM ET@TheSanctuaryAI
@TheSanctuaryAI on X
Robots Doing Stuff #64 | Delicate Object Handling Will you find crackers and grapes on the production floor? Probably not. But what you will find are tasks that require the manipulation of delicate, irregular, and easily damaged objects. Brittle crackers and soft grapes provide a simple way to put those capabilities to the test. Handling objects like these requires precise force control and continuous adjustment. The hand must maintain a secure grasp without crushing, cracking, or dropping each object as it transfers it to the plate. It makes for a great demo… and a great snack. #Dexterity…
2:13 PM ET
DYDynaRobotics
2:13 PM ETDYDynaRobotics
@DynaRobotics on X
Then we realized there is more. A fully folded napkin is not a finished job. It has to land in a bin, stacked, ready for staff to carry out so they can serve their guests. For months our napkins were folded well, but the bins were disorganized and ruined output quality drastically. The robot was placing each napkin wherever it happened to land, so staff had to square up the stacks before carrying them out. Ten positions in one small bin look nearly identical to the robot. Nothing in the scene tells it what comes next, only the instruction does. Precise language following in Dyna-2 is what…
12:39 PM ET
Hugging Face
12:39 PM ETHugging Face
@TheHumanoidHub on X
Home robots are coming. The first ones in will be the small ones that are safe around kids and pets. Hugging Face's Pollen Robotics just opened pre-orders for Microduck, a $399 biped. 25cm, under 800g, 15 motors, a camera, a small LiDAR, two IMUs, and an articulated beak that picks things up. Ships with 7 pre-trained behaviors including walking, kicking, and roller skating. Open on GitHub under Apache-2.0: the SDK, the simulator, and the RL training pipeline. So you can teach it new tricks.
12:39 PM ET
Hugging Face
12:39 PM ETHugging Face
The Humanoid Hub on X: "Home robots are coming. The first ones in will be the small ones that are safe around kids and pets.
Hugging Face's Pollen Robotics just opened pre-orders for Microduck, a $399 biped.
25cm, under 800g, 15 motors, a camera, a small LiDAR, two IMUs, and an articulated beak t… / X
Post Log in Sign up Post The Humanoid Hub on X: "Home robots are coming. The first ones in will be the small ones that are safe around kids and pets. Hugging Face's Pollen Robotics just opened pre-orders for Microduck, a $399 biped. 25cm, under 800g, 15 motors, a camera, a small LiDAR, two IMUs, and an articulated beak that picks things up. Ships with 7 pre-trained behaviors including walking, kicking, and roller skating. Open on GitHub under Apache-2.0: the SDK, the simulator, and the RL training pipeline. So you can teach it new tricks." - The Humanoid Hub @TheHumanoidHub Home robots are…
9:58 AM ET
PEPerceptron
9:58 AM ETPEPerceptron
@TheHumanoidHub on X
Perceptron's Isaac 0.5 is a 36B open-weight embodied foundation model with only 2.5B active per token. The model - Perception, reasoning, and control all read from one shared backbone, so it makes visual decisions mid-trajectory - Null-expert routing lets each token use between zero and eight of the 256 experts - 35+ embodiments and 100k+ hours of demonstrations, so policies port across robots fast The result Scaling general video from 1,000 to 1M hours cut the teleoperation needed to hit their action-loss target from 5,884 hours to 28. On most benchmarks for spatial, physical, and grounding…
9:52 AM ET
Fourier
9:52 AM ETFourier
Mayank Vora on X: "🤝 FOURIER GR-3 CARE ROBOT
Not every robot at the conference was built for factories.
The human-sized GR-3 is covered in soft material and responds through vision and touch. It is designed for companionship, education, public services and elderly care." / X
Post Log in Sign up Post Mayank Vora on X: "🤝 FOURIER GR-3 CARE ROBOT Not every robot at the conference was built for factories. The human-sized GR-3 is covered in soft material and responds through vision and touch. It is designed for companionship, education, public services and elderly care." - Mayank Vora @aiwithmayank Aug 27 China just showed what the next generation of robots will actually look like. Not prototypes trapped inside laboratories, but machines designed to carry people, pack phones, sort parcels and care for the elderly. Here are the wildest robots from Beijing’s 2026 World…
8:46 AM ET
AGAGIBOTofficial
8:46 AM ETAGAGIBOTofficial
MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆
Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first… / X
Post Log in Sign up Post MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆 Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first place in events including cable connection, unboxing, nail fixing, and bottle opening. An outstanding demonstration of dexterous manipulation. Across the competition in Beijing, many teams used MANUS Metagloves for real-time teleoperation. When every movement matters, MANUS…
8:28 AM ET
@continuumlabs_
8:28 AM ET@continuumlabs_
@continuumlabs_ on X
How does a robot actually “see” the world? It doesn’t see in the human sense. A robot builds its understanding of the environment by combining signals from multiple sensors. 📷 Cameras capture visual information: objects, colors, signs, people and more. 📡 LiDAR measures distance with laser pulses, helping create a 3D representation of the surroundings. 📶 Radar detects distance and movement, and can remain useful in conditions where cameras struggle, such as rain, fog or darkness. 🔍 Depth sensors estimate how far objects are and help the robot understand the shape and structure of nearby…
6:31 AM ET
PRPollen Robotics
6:31 AM ETPRPollen Robotics
Microduck - A tiny biped robot you can teach new tricks | Pollen Robotics
AV-1 MicroduckMade to move · Ready to learn A 25 cm open-source biped you train yourself with reinforcement learning. Playable out of the box. Pre-order for $399 Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and…
6:31 AM ET
PRpollen robotics
6:31 AM ETPRpollen robotics
Thomas Wolf on X: "We have a huge news to share today!
Today we are unveiling the first truly accessible RL robot - welcome Microduck
A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforce… / X
Post Log in Sign up Post Thomas Wolf on X: "We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforcement learning. It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own. And all for less than $400. See all the details,…
4:00 AM ET
ARAxis Robotics
4:00 AM ETARAxis Robotics
Axis Robotics × Booster: From Digital Twins to a Robot Data Engine
Back How task-aligned simulation, real demonstrations, and continued pretraining can make each new Booster task easier to build than the last. Robot learning has a model problem. More importantly, it has a data-operations problem. Figure — Axis’s simulation solution spans third-person, head, and wrist observations while varying appearance, materials, object layout, lighting, and scene context. The objective is to preserve task structure while varying the details that should not control the policy. Introduction For robotics companies building new embodiments—and, increasingly, for the entire…
4:04 PM ET
Agility Robotics
4:04 PM ETAgility Robotics
Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. #Agility #DigitRobot 00:00 View media 4:04 PM · Aug 26, 202611.3KViews 9 4 42 7 - Capital\Squeeze❄️ @CapitalSqueez Aug 27 Agility Robotics’ Digit is positioned to disrupt and…
3:42 PM ET
LIlightberry
3:42 PM ETLIlightberry
Robert Scoble on X: "This San Francisco robot can “see” you even if you are standing behind it thanks to a new array microphone that @lightberry and built.
As soon as you open your mouth that is.
It can recognize you speaking to it. And can track a variety of people standing around the robot.
Li… / X
Post Log in Sign up Post Robert Scoble on X: "This San Francisco robot can “see” you even if you are standing behind it thanks to a new array microphone that @lightberry and built. As soon as you open your mouth that is. It can recognize you speaking to it. And can track a variety of people standing around the robot. Like if one was in your kitchen sitting a dinner party. They did that to serve its real goal, to have its robot have the most interesting personalities. @aliattar and team introduced me to Lumi. You can order now for $40,000: https://t.co/M1MBgFJBli Why so expensive? We cover…
1:46 PM ET
@lightberry
1:46 PM ET@lightberry
@lightberry on X
Lumi is also the best humanoid for builders: 🤖 Head: shake, nod, tilt 👂 I/O: stereo cams, 360º mic array, loud speakers 👕 Body: G1-compatible 🧠 Compute: NVIDIA Thor 🖐️ Hands: parallel grippers
1:46 PM ET
@lightberry
1:46 PM ET@lightberry
@lightberry on X
Until today, humanoids shipped mute, deaf, and blind. Interactions got no love, sensors were always an afterthought, personality was forgotten. Result: robots could not be deployed in public.
1:46 PM ET
LILightberry
1:46 PM ETLILightberry
Lightberry on X: "MEET LUMI
THE WORLD'S MOST INTERACTIVE ROBOT
Assembled in SF, shipping in 2026 💛" / X
Post Log in Sign up Post Lightberry on X: "MEET LUMI THE WORLD'S MOST INTERACTIVE ROBOT Assembled in SF, shipping in 2026 💛" - Lightberry @lightberry MEET LUMI THE WORLD'S MOST INTERACTIVE ROBOT Assembled in SF, shipping in 2026 💛 00:00 View media 1:46 PM · Aug 26, 2026110.5KViews 62 63 484 136 - Lightberry @lightberry Aug 26 Until today, humanoids shipped mute, deaf, and blind. Interactions got no love, sensors were always an afterthought, personality was forgotten. Result: robots could not be deployed in public. 4 1 14 4.4K Lightberry @lightberry Aug 26 Lumi was designed to be around…
12:08 PM ET
DVDynamo Ventures
12:08 PM ETDVDynamo Ventures
Dynamo Dispatch (2026/08/24) - by Santosh Sankar
Dispatch by Dynamo Ventures SubscribeSign in Discover more from Dispatch by Dynamo Ventures The signal in the noise of the industrial renaissance. Each week, we distill the headlines that matter across the physical economy along with our unique perspective and opinion. Join the thousands of founders, executives, and investors who read it. Over 4,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Already have an account? Sign in Dynamo Dispatch (2026/08/24) Issue 384 \| The grid, the canal, and the…
8:38 AM ET
Boston Dynamics
8:38 AM ETBoston Dynamics
Aivetra Maxine on X: "5. USA 🇺🇸
Boston Dynamics just made Atlas a cameraman.
Perfect pans. Smooth tilts. Zero shake.
Hollywood meet your new robot DOP." / X
Post Log in Sign up Post Aivetra Maxine on X: "5. USA 🇺🇸 Boston Dynamics just made Atlas a cameraman. Perfect pans. Smooth tilts. Zero shake. Hollywood meet your new robot DOP." - Aivetra Maxine @Hey\Aivetra Aug 26 USA and China aren’t just making robots… They’re training them to fight, film, cook and even building cyber horses. Here are 6 insane ones you gotta see: 1\. Helix is walking blind (without cameras) 00:00 View media 19 29 126 84K - Aivetra Maxine @Hey\Aivetra Aug 26 2\. Robot doing laundry 00:00 View media 3 12 8.1K - Aivetra Maxine @Hey\Aivetra Aug 26 3\. China 🇨🇳 They’re…
6:10 AM ET
UNUnitreeRobotics
6:10 AM ETUNUnitreeRobotics
@UnitreeStore_SH on X
Unlock unlimited sports potential (Extra large joint movement space angle, 23~43 joints) Force control of dexterous hands, manipulation of all thingsImitation & reinforcement learning driven Robot world model, let’s create it together Unitree G1 Price from $13.5K. Experience G1 at the Unitree Store in Shanghai. Follow us for more robots, technology, and store experiences. 📍 2nd Floor, Jiuguang Department Store, West Nanjing Road, Shanghai 🕙 Open daily, 10:00–22:00 🚇 Metro Lines 2, 7 & 14(Jing'an Temple Station，静安寺站) #Unitree #UnitreeRobotics #UnitreeG1 #G1 #HumanoidRobot #Robotics…
6:10 AM ET
Google
$GOOGL
6:10 AM ETGoogle
@zhodonx on X
I’ve said before that I think Google & DeepMind are playing a longer game with models. This is still a firm stance. Because a lot of the time, i think people look at Google’s model strategy too narrowly; Every Gemini release immediately gets reduced to how it compares with other labs or whatever benchmark is trending that week. Meanwhile the it’s more about where all of that intelligence might show up next. Like in Reasoning, Vision, Video, Agents. And particularly robotics. I believe Gemini Robotics ER 2 is a clear example here. It was built on Gemini 3.5 Flash. Except, now its intelligence…
2:33 AM ET
@deepakpathak
2:33 AM ET@deepakpathak
@deepakpathak on X
@JieWang_ZJUI These are 5-10min long tasks, ~500 demos needed for VLAs. Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.
11:26 PM ET
https://x.com/HarryMellsop
11:26 PM EThttps://x.com/HarryMellsop
Harry Mellsop on X: "lights, camera, action [& robotics] 🧑🍳" / X
Post Log in Sign up Post Harry Mellsop on X: "lights, camera, action \[& robotics\] 🧑🍳" - Harry Mellsop @HarryMellsop lights, camera, action \[& robotics\] 🧑🍳 View media 11:26 PM · Aug 25, 2026235Views Reply 3 9 Scan to get the app
7:36 PM ET
@dredgefactory
7:36 PM ET@dredgefactory
@dredgefactory on X
A 29900$ MACHINE IS DANCING ON A PAVEMENT AND NOT ONE PERSON WALKING PAST LOOKS UP. 29900$ is a Unitree H2, the class this thing sits in. Entry models go for 13500$. Every beat throws its centre of mass and the feet catch it in real time - uneven stone, no tether, no handrail. Same loop that keeps it standing in a warehouse.
2:14 PM ET
@ParadisLabs
2:14 PM ET@ParadisLabs
@ParadisLabs on X
Humanoid BOM model: Current humanoid BOM = ~$68k based on channel checks across 3 humanoid OEMs (UK and US). - Actuation = 33.8% of current BOM - Dextrous hands = 30.3% - Structure = 7.6% - Sensing = 7.5% - Electrical = 6.0% - Vision = 4.7% - Compute = 4.6% - Power = 4.6% - Other = 0.9% * Piecing together various component costs across different Western OEMs. Numbers may be over/understated for this reason.
1:54 PM ET
@gupta_abhinav_
1:54 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
@0fir0z @deepakpathak In the silicon valley world the race for robotics companies is to be similar to LLMs. But actually robotics needs many more concepts from computer vision. We are proud to say S1 is using so many of our past efforts in computer vision CC: @JitendraMalikCV
1:41 PM ET
Unitree Robotics
1:41 PM ETUnitree Robotics
Markets surge, track records fall, and in-context learning hits physical AI
- Home - Posts - Markets surge, track records fall, and in-context learning hits physical AI Markets surge, track records fall, and in-context learning hits physical AI Unitree’s market whiplash, an 8.86s 100m sprint, and how in-context learning is ending heavy fine-tuning. Humanoids Daily Aug 25, 2026 This week brought a stark look at the tension defining modern humanoid robotics: the gap between capital market euphoria, athletic spectacle, and the unglamorous realities of industrial utility. Unitree's blockbuster Shanghai STAR Market listing initially saw shares rocket over 600% to an…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" / X
Post Log in Sign up Post Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "S1 learns new tasks like a language model.
You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." / X
Post Log in Sign up Post Skild AI on X: "S1 learns new tasks like a language model. You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught extremely long-horizon tasks,…
1:18 PM ET
Skild AI
1:18 PM ETSkild AI
@humanoidsdaily on X
Skild AI's S1 takes a video demonstration as its prompt. No language instruction, no fine-tuning. Show it a task it has never seen, and it gets 66% of the steps right. Describe that same task in words instead, and you get 9%. Prompting a robot with video isn't new. Generalist AI showed it earlier this month, but those runs last seconds. Skild claims S1 is the first to work on 10-minute tasks outside the training distribution. A new task used to mean a hundred hours of teleoperation and a training run. Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11…
12:01 PM ET
Figure
12:01 PM ETFigure
@fuzzyxbt on X
Figure 03 can now climb a ladder fully autonomously. No remote operator. No scripted sequence. The robot has to see the ladder, coordinate its hands and feet, continuously shift its weight, and maintain balance as it moves upward. That makes this much harder than simply walking or climbing stairs: every rung becomes a separate contact point the robot has to perceive and reach correctly. Figure is building humanoids around a simple idea: Instead of redesigning the world for robots, teach robots to navigate a world already designed for humans.
11:07 AM ET
NVIDIA
$NVDA
11:07 AM ETNVIDIA
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI | NVIDIA Newsroom
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI August 25, 2026 News Summary: - NVIDIA Jetson Orin Nano 2, a new robotics computer for entry-level edge AI, enables millions of developers worldwide to build robots, delivery and inspection drones, and vision AI systems for frontier physical AI applications. - Jetson Orin Nano 2 delivers 2x the inference performance of its predecessor in the same form factor and consumes 40% less power at the same performance. - More than 3 million developers have built on the NVIDIA robotics stack, with Cognex, Doosan…
10:39 AM ET
@continuumlabs_
10:39 AM ET@continuumlabs_
@continuumlabs_ on X
A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world. That’s the sim-to-real gap. In simulation, everything is controlled: lighting is predictable, surfaces behave consistently, objects have known shapes, and sensors produce clean data. But reality is much messier, a policy that works in a perfectly modeled environment may not generalize when those assumptions break. So how do researchers close the gap? 1️⃣ More realistic simulations Build environments that better capture real-world physics, objects, sensors, and interactions. 2️⃣…
8:55 AM ET
@spaceandtech_
8:55 AM ET@spaceandtech_
@spaceandtech_ on X
The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track. It can handle tight corners and even perform controlled drifts. Developed with Symbiosis Robotics Direct Perception Control system, the G1 uses vision, body state, and action history to coordinate its movements in real time.
8:12 AM ET
Boston Dynamics
8:12 AM ETBoston Dynamics
Why Boston Dynamics Gave Their Atlas Robot a Head
Skip to content No results embeds.beehiiv.com embeds.beehiiv.com is blocked This page has been blocked by an extension - Try disabling your extensions. ERR\BLOCKED\BY\CLIENT Reload This page has been blocked by an extension FacebookBlueskyThreadsEmail Why Does Atlas Have A Head? #askaroboticist #bostondynamics - YouTube Tap to unmute Why Does Atlas Have A Head? #askaroboticist #bostondynamics Boston Dynamics Boston Dynamics3.43M subscribers Watch on Taylor Frey-Baker, a mechanical engineer at Boston Dynamics, shared why their all-electric Atlas robot, unveiled in 2024, has a head, contrasting…
8:12 AM ET
Unitree Robotics
8:12 AM ETUnitree Robotics
China’s Robot Boom Tests Investor Discipline
Today’s Stocks Berkshire HathawayBRK.B $502.87-2.13(-0.42%) JPMorgan ChaseJPM $355.95-1.68(-0.47%) VisaV $380.67-0.94(-0.24%) Eli Lilly & CoLLY $1,155.73-18.88(-1.61%) MastercardMA $592.53-2.77(-0.47%) Exxon MobilXOM $159.68+2.97(1.90%) Costco Wholesale CorpCOST $943.65-1.82(-0.19%) Johnson & JohnsonJNJ $266.68-1.36(-0.51%) Procter & GamblePG $144.94+1.16(0.81%) Home DepotHD $327.13-3.06(-0.93%) Bank of AmericaBAC $62.06-0.26(-0.42%) AbbVie Inc.ABBV $255.59+0.11(0.04%) Palantir Technologies Inc.PLTR $185.84-0.46(-0.24%) Coca-ColaKO $89.07-0.59(-0.66%) Philip Morris InternationalPM…
3:43 AM ET
SUsundayrobotics
3:43 AM ETSUsundayrobotics
@maganjot79705 on X
the most interesting hardware in robotics isn't robots. @sundayrobotics built a skill capture glove so regular people can record chores. proception built a glove for dexterous hand data. UMI turned gripper data collection into a $300 tool. capture devices are the moat.
Hosted By Edmond Jono Hart James (Jingxi) Xu Mene Mazarakis Angela Zhang Manfredi Bernardi Adam 134 Went Akshobhya Gupta, Hannah Tsui and 132 others Contact the Host Report Event AI 🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence Hosted by Edmond & 6 others Aug 30 Sunday, August 30 2:00 PM - 5:00 PM PDT Register to See Address Atherton, CA Past Event This event ended 2 days ago. Welcome! To join the event, please register below. Request to Join About Event 🤖🍨 Grab a sundae and join Sundae Robotics, a private, invite-only Sunday series bringing together robotics…
9:15 AM ET
https://x.com/RoboPapers
9:15 AM EThttps://x.com/RoboPapers
RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data.
Part of the secret is that LDA-1B jointly learns forward … / X
Post Log in Sign up Post RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also…
9:15 AM ET
@RoboPapers
9:15 AM ET@RoboPapers
@RoboPapers on X
Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also generalizes across objects, tasks, and…
4:06 AM ET
ARAxis Robotics
4:06 AM ETARAxis Robotics
Improving Robot Manipulation Policies with Verifiable Short Correction Snippets
Back Introduction DAgger-style correction is the engine of post-training improvement: when a policy fails, a human takes over, steers the robot back on track, and the resulting trajectory goes back into training. Since launching Axis V2, we have collected over 500 hours of human-gated correction data this way. But collecting corrections is not the same as using them well. This report summarizes a round of browser-based community correction experiments built around a simple task: the robot needs to place a block of tofu onto a plate. The existing policy already completes a portion of attempts…
12:50 AM ET
@TheHumanoidHub
12:50 AM ET@TheHumanoidHub
@TheHumanoidHub on X
Generalist AI just released GEN-1.5. It might be robotics' GPT-3 moment. What is one-shot learning via in-context prompting? In the case of language models like GPT-3, including a Q&A example in the prompt before the actual question improved performance across a broad suite of language tasks. For example: Prompt: "Q: Who wrote Romeo and Juliet? A: William Shakespeare Q: Who wrote War and Peace?" [model outputs "Leo Tolstoy"] Similar capabilities are now emerging in GEN-1.5, where a short example (a few seconds of demonstration ) alongside language and sensory inputs can solve tasks the model…
12:17 PM ET
GEGeneralistAI
12:17 PM ETGEGeneralistAI
Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limite… / X
Post Log in Sign up Post Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limited way. (Thanks to @peteflorence and co for having me!) https://t.co/VdsK6jE7rS" - Will Knight @willknight I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I…
12:01 PM ET
NVIDIA
$NVDA
12:01 PM ETNVIDIA
Cosmos 3 Post-Training in Action With Aigen and Linker Vision | Cosmos Labs - Live Broadcast by NVIDIA Robotics / X
\\ \\ REPLAY NVIDIA Robotics @NVIDIARobotics Cosmos 3 Post-Training in Action With Aigen and Linker Vision \| Cosmos Labs Scan to get the app
11:48 AM ET
@DrJimFan
11:48 AM ET@DrJimFan
@DrJimFan on X
Seeing a hype wave around GEN-1.5, and rightfully so. Lots of respect to Pete & Andy for executing so well. The secret is in the naturally repetitive motions in human-collected data. There're 2 main sources for such repetitions: (1) Symmetric patterns. Sorting, tidying, and assembling almost never finish in one motion. Open any assembly manual from IKEA, and you find most objects symmetrical. You drive one bolt, then its twin, then the next pair. Every {bolt A, bolt B} pair is a natural continuation in context, and the second instance is a free training signal that imitates the first…
11:13 AM ET
DADandy
11:13 AM ETDADandy
Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology.
The team at Dandy is obsessed with the outcome.
Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices.
And under the h… / X
Post Log in Sign up Post Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology. The team at Dandy is obsessed with the outcome. Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices. And under the hood the technology breakthroughs are insane 1\. AI Crown Design - the team built their own model from scratch to drive down the cost of design and improve design accuracy that has led to industry leading remake rates 2\. Automated Nesting Technology - Maximizes their yield on CNC…
9:54 AM ET
FRFlexion Robotics
9:54 AM ETFRFlexion Robotics
@spaceandtech_ on X
Humanoid robots often struggle with tasks that involve many steps and require them to recover from mistakes. Flexion Robotics developed Reflect V1.0, a robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator. It combines AI for perception, planning, motion control, and reinforcement learning to help robots understand situations, take action, recover from errors, and improve over time.
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
4:24 AM ET
BRBooster Robotics
4:24 AM ETBRBooster Robotics
Booster Robotics on X: "Excited to see our work featured in Science Robotics.
This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings.
From research to the field, we’re pushing humanoid soccer forwa… / X
Post Log in Sign up Post Booster Robotics on X: "Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field, we’re pushing humanoid soccer forward." - Booster Robotics @boosterobotics Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field,…
4:14 AM ET
ARAXIS ROBOTICS
4:14 AM ETARAXIS ROBOTICS
FAQ | AXIS ROBOTICS
01Getting Started16 What do I need to use Axis Hub? A modern browser (Chrome, Firefox, Safari, or Edge) on a desktop or laptop. No GPU, no downloads, no special hardware. The physics engine — MuJoCo, compiled to WebAssembly — runs locally in your browser. How do I create an account? Sign up through Privy — you can use your email, Google account, X (Twitter), or connect an existing wallet. If you don't have a wallet, Privy creates one for you automatically. See Getting Started. What is the Axis Hub wallet? A custodial wallet created for you automatically by Privy when you sign up, so you don't…
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." / X
Post Log in Sign up Post Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world. 00:00 View media 313 1.7K 12K 3.4M - Generalist @GeneralistAI…
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." / X
Post Log in Sign up Post Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control | NVIDIA Technical Blog
Technical Blog Subscribe Related Resources Robotics Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control Aug 19, 2026 By Saeed Babamohamadi +12 Like Discuss (0) - L - T - F - R - E AI-Generated Summary - NVIDIA Jetson Thor can run the 4B Cosmos 3 Edge omni-model natively for on-device robot manipulation policies. - Post-training Cosmos 3 Edge on the Cosmos3-DROID dataset produces a policy that generates action chunks in about 1.53 seconds on Jetson AGX Thor T5000, enabling continuous real-time control. - In closed-loop RoboLab evaluation, the post-trained Edge policy reaches 22.9%…
8:00 PM ET
Skild AI
8:00 PM ETSkild AI
Introducing S1: In-Context Learning for Robotics | Skild AI
0:00 / 0:00 1× Introducing S1: In-Context Learning for Robotics Unseen tasks10-minute horizonsOne video promptNo post-training 13-minute read Contents Introduction Why In-Context Learning for Robotics? S1: An In-Context Learner What does S1 learn from context? The Data Engine S1 In Action Seen tasks Long-horizon unseen tasks ICL scaling laws Emergent Properties Robustness and common-sense behavior Quantifying ICL robustness to distribution shifts ICL demonstration efficiency Closing Remarks References Citation Introduction The evolution of language modeling provides a blueprint for turning…
10:36 AM ET
Figure
10:36 AM ETFigure
Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Post Log in Sign up Post - Theo Gage @realtheogg 3 Billion Humanoid Robots Could Exist. The Question Nobody Is Asking Is Where They’ll Live. Bank of America thinks the world will have 3 billion humanoid robots by 2060 Read that again. Not 3 million. Not 30 million. Three billion — more than the roughly 1.5 billion cars currently on Earth, on a per-capita basis. The obvious reaction: why would humanity ever need that many? Here's why the forecast isn't as crazy as it sounds. BofA's analysts don't frame this as science fiction. They frame it as a demographics problem — aging populations in…
8:00 PM ET
NVIDIA
$NVDA
8:00 PM ETNVIDIA
Hydra-0: Action Flow for Generalist World Modeling and Control | NVIDIA Isaac
Overview video Figure 1: Action flow as a shared control interface. Top: Hydra-0 learns from diverse interaction videos featuring egocentric human demonstrations, handheld UMI grippers, bimanual robot arms, and single-arm robots. Middle: Visible embodiment motion is represented as image-plane flow trajectories, placing heterogeneous interactions in a common, pixel-aligned action flow space independent of embodiment-specific joint or end-effector coordinates. This unified interface enables a single generalist world model to learn from multi-embodiment data and transfer across interaction…
8:00 PM ET
BMW Group
8:00 PM ETBMW Group
Press-Information June 25th 2026
Press-Information June 25th 2026 BMW Group advances the use of Physical AI in production with Figure 03 project in Spartanburg - Figure AI demonstrates Figure 03 humanoid robots in new use case at BMW Group Plant Spartanburg. - Robot development runs in parallel at BMW Group Plant Spartanburg and at Figure AI. - Assembly Hall in Spartanburg features BMW iFACTORY applications in artificial intelligence and virtualization. Munich/Spartanburg, USA. BMW Group intensifies the usage of digitalization and the use of artificial intelligence (AI) in production. With so-called Physical AI, which…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
12:59 PM ET
TMTata Motors
12:59 PM ETTMTata Motors
TruthCapital on X: "The India EV Value Chain: A Crisp Investor's Map
India's EV story has moved from experiment to industrial buildout — the government is targeting 30% EV penetration by 2030, and global capital is watching where India fits into the post-China supply chain. Here's the essence: who… / X
Post Log in Sign up Post TruthCapital on X: "The India EV Value Chain: A Crisp Investor's Map India's EV story has moved from experiment to industrial buildout — the government is targeting 30% EV penetration by 2030, and global capital is watching where India fits into the post-China supply chain. Here's the essence: who makes the vehicles, what they're built from, who supplies each layer, where it's actually manufactured, and what's driving growth. 1\. The OEM Landscape Passenger vehicles (4W): EV sales surged 84% in FY2026 to 1.98 lakh units (4.3% of the PV market). Tata Motors leads but…
1:45 PM ET
BMW Group
1:45 PM ETBMW Group
BMW Group deploys Figure 03
The Robot Report Continue to Site Facebook X LinkedIn Reddit Pinterest Share Figure 03 adds tactile-sensor hands, palm cameras, wireless charging, and speech-to-speech audio over its predecessor. \| Source: BMW Group BMW Group is doubling down on its deployment of Figure.AI’s humanoid robots. The automaker last week announced that, following its successful deployment with Figure 02 at its plant in Spartanburg, S.C., it will deploy the company’s latest Figure 03 robot. “Plant Spartanburg is the birthplace of humanoid robotics in BMW Manufacturing’s operational day-to-day activities,” said…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
7:36 PM ET
OROrigami Robotics
7:36 PM ETOROrigami Robotics
Quanting Xie on X: "The full video of hand and glove co-design in action.
For hand 🖐️ we try to make sure it's able to repeat what a human hand can do; hyperextension in the index finger is a great example here. Most robotic hands lack that, and it is very important for grasping objects securely… / X
Post Log in Sign up Post Quanting Xie on X: "The full video of hand and glove co-design in action. For hand 🖐️ we try to make sure it's able to repeat what a human hand can do; hyperextension in the index finger is a great example here. Most robotic hands lack that, and it is very important for grasping objects securely. Let’s try to close the embodiment gap. For glove 🧤 we try to make sure it’s comfortable to wear, while also has same kinematics, contacts with the robot hand." - Quanting Xie @DanielXieee The full video of hand and glove co-design in action. For hand 🖐️ we try to make sure…
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
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Unitree Robotics
—Unitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Unitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Brushless Motor Long Life, Low Inertia, High Speed, Force Control - Temperature and Position Sensors - Precision Gearbox (Backdrivable) - Highly Integrated - High Power, High Speed - High-Speed Communication - Model Max (Stall) Torque Torque Opposite to Speed Direction Baud Rate Max (No-Load) Speed No-Load Current - J288 1.5Nm J288 6,000,000bps J288 35rad/s (334rpm)@25.2V / 16.5rad/s (157rpm)@12V J288 0.45A@25.2V 0.27A@12V - S288 0.6Nm S288 6,000,000bps S288 16.5rad/s (157rpm)@12V S288 0.27A@12V Control…
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DRDiligent Robotics
—DRDiligent Robotics
RoboBrief: Daily Robotics News, Humanoid Robots & AI Automation
Daily robotics intelligence The global robotics briefing desk Your daily robotics intelligence briefing — US, China, India & beyond. Breaking news, analysis, and insights on the global robotics revolution. - 🇺🇸United States - 🇨🇳China - 🇮🇳India - 🇯🇵Japan - 🇩🇪Germany Subscribe Free Read the briefings→ Browse topics Briefings323Briefings CadenceDailyCadence CoverageGlobalCoverage Lead briefing All briefings → Two Humanoid Robots Just Played a Full 11-Point Table Tennis Match \\ \\ HKU and KAI's SMASH 2.0 demonstration matters because table tennis forces robots to combine perception,…
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…
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Unitree Robotics22NVIDIA20Tesla14Figure AI11Gemini Robotics11Boston Dynamics10Skild AI7BMW6Hugging Face6Agility5AGIBOT4Axis Robotics4Fcc4Pollen Robotics4agentic video understanding3Amazon3Ambarella3Generalist AI3Lightberry3Noble Machines3Sanctuary AI3SoftBank3world-labs3AllSpice.io2Anthropic2Applied Intuition2Avnet2BHW Technologies, Ltd.2Booster Robotics2Cardinal Group2CareIT2Cargt2Carnegie Mellon2Cedarware Corp2CELUS2Datadog2Dojo Five2dollars2Exor Seeds2Finite State2Ford Motor Company2Fourier Intelligence2Galbot2General Motors2Gravis Robotics2Green Hills Software2HHMI Janelia2IAR2Imagimob AB2Juul Labs Inc.2LG2Lightwheel2Microchip Technology2MosChip Technologies Limited2Noom2Norbert Health2OpenAI2Owkin2plant-spartanburg2Proactive International PR2QNX2QuEra2Real-Time Innovations (RTI)2Rheem Manufacturing2Robotera2Samsung2Savoir-Faire Linux2Scale AI2Sealevel Systems, Inc.2Soliton Technologies2TASKING USA, LLC2Thread Group2Toradex2UBTECH2Universal Robots2Wibu-Systems USA2X Square Robot2XPeng2Xynova2アスター2燈2秋田県横手市20xconglomerate11X12077 Ventures13D inkjet printing1actuation cost1Actuator BOM contribution1adaptation time for new robot embodiments1ADLINK1Advanced Micro Devices Inc1Aeva Technologies Inc1AGILINKai1Aigen1Alloy Robotics1Alloy Robotics funding1Amara Raja Energy & Mobility1amazon-warehouses1Ambarella Inc1Amphenol1Anduril1Annual cost of software access.1Apptronik1Aramco1Atlas1Atlas humanoid robot1Atlas model for spatial intelligence.1Atlas robot1ATOMS1AXIS ROBOTICS Inc.1Bajaj Auto1Balaji Amines1Bank of America1Beningo Embedded Group1Bharat Bijlee1Bharat Forge1BlackRock1Bosch Limited1Boston Hardware Studios1C4 Ventures1cable stretch1Carnegie Mellon integration time1Caterpillar1CATL1CGNX1child-sized humanoid robots1civilian robot1Cognex1Cognex Corp1Columbia University1component placement rate1continuous locomotion demo1corrections collected1Cost of the GR-1 humanoid1crowns1current humanoid BOM1CXMT1Cycle time for completing a plug insertion.1cycle time for the insertion task1Cyient DLM1Dandy1DaxAI1DeepSeek1Degrees of Freedom for UBTECH1Degrees of Freedom for XPeng1Delivery timeline for a data center.1development timeline of Moby.1development timeline reduction.1Dexforce1dextrous hands cost1Diligent Robotics1Divgi TorqTransfer Systems1Dobot1Doosan Bobcat1Drones owned by the Pentagon1Dusty Robotics1Dynamo Ventures1DynaRobotics1Embodied AI model1EngineAI1episodes in RoboLab evaluation1Equinor1examples for adapting to new robotic embodiments.1Exide Industries1FieldAI1FieldAI-powered robot1filtered simulation episodes1Flexion Robotics1FORT Robotics1Founder Edition Lumis1Fudan University1G1 humanoid grasp and lift task1GalbotRobotics1Gearbox cost contribution1Generalist1GeneralistAI1gold medals won at the World Humanoid Robot Games1Goldman Sachs1government-of-the-republic-of-serbia1Greaves Cotton1group-plant-leipzig1GrubMarket1Gujarat Fluorochemicals1GXO1hams-hall-plant1hangzhou-yushu-technology1hardware design1Harmonic Drive1Harmonic Drive Systems1Harvard University1HBL Power Systems1HCVC1HELLA India1Hero MotoCorp1Hexagon AB1Himadri Speciality Chemical1human correction data1humanoid robot by EngineAI1Humanoid robots1Humanoid robots procurement1Hydra-0 training1Hyundai1IHMC1Initial price of Lumi's Founder Edition.1insertion trials conducted over 40 minutes1Integration of robotic components.1Intel1iRobot1iso1issue of IEEE Spectrum1JBM Auto1Kaynes Technology1Khosla Ventures1lackawanna-energy-center1ladder climb1land-transport-authority-singapore1Lattice Semiconductor1LDV Capital1LeggedRobot1LimX1LimX Dynamics1LimX Luna robot1Lincoln1Linker Vision1Long-horizon unseen tasks1Madison Air1Mahindra & Mahindra1Mahindra CIE1manipulation tasks1ManusMeta1market opportunity1Matic1maximum number of times a user can complete the same task.1Mercedes-Benz1Meta1Microduck1Microduck price1Microduck specifications1Micron1Milk Road Pro1ministry-of-science-and-ict1Minth Group1minth-metal-parts-majur1MIPS, by GF1Moby deployment in a semiconductor facility.1Morgan Stanley1MP Materials1Nabtesco1napkins in a bin1national-development-and-reform-commission1NBT average for RandER.1NBT average with 1% Memory Anchors removed.1NBT average with 10% Memory Anchors removed.1NBT average with 5% Memory Anchors removed.1Neogen Chemicals1new tasks1Newlab1Nidec1Niron Magnetics1Nucleus1Number of contributors for the engine on Base.1Number of tasks published.1Ola Electric1Olectra Greentech1Ondas Inc1ONDS1Operational time of an early prototype.1Orbbec1Origami Robotics1OUST1Ouster Inc1Panasonic1Parasoft1Passenger vehicles (4W)1Patient acceptance rate.1pennsylvania-governor-josh-shapiro1perception system1Perceptron1Perceptron AI1perceptroninc1Performance metric for model.1Peridio1PetoiCamp1physical AI data delivered1Pink Robotics1pollenrobotics1post-training duration1power consumption comparison of Jetson Orin Nano 21Predicted deployment of humanoid robots in homes.1price of Microduck1proception1Projected cost drop for humanoid robots.1Projected shortage of healthcare staff.1QuEra controller success rate1Racepoint Global1Radical Ventures1rallies1Red Cat Holdings1Reflect V1.0 from Flexion Robotics.1Regal Rexnord1Rhoda1RobbyAnt1RoboCup 20251RoboSense1robot capturing work inside the factory.1robot climbing a ladder1robot data collection1robot design1robot handling components and folding storage boxes1robot interaction data from the DROID dataset1robot programming1Robotera’s parcel-sorting robot1robotics-industrial-park1ROBOTIS1Rockchip1Rockwell Automation1S1 compared to current VLA models1sales for Microduck1Sansera Engineering1Saronic1Scale AI data delivery1Schaeffler1Science Robotics1sec1Second State Inc1Secure-IC1Secure-IC – a Cadence Company1seed studio1Seeed1Seeed Studio1sensing cost1Serena Capital1Series A funding1Series A funding for Norbert Health.1Serve Robotics1sf1shenzhen1Shield AI1sim-to-real gap1SK Hynix1Skydio1SMRT1Solomon1Sona Comstar1Sony1south-korea-ministry-of-planning-and-budget1SpaceX1speedup in generative performance1star-market1Stellarix1structure cost1success rate for few-shot learning1Success rate of AI-controlled trials.1success rate of the post-trained policy.1success rate of the wire insertion task1success rate with few-shot learning1success rate with one-shot physical prompting1successful grasps by the G1 humanoid on hardware.1sundayrobotics1supply chain gap in UxV and robotics components1Symbotic Inc1Synopsys1Syrma SGS Technology1target action-loss1tasks available in RoboLab.1Tata Motors1TE Connectivity1technia1teleoperation for new tasks1teleoperation reduction1Tencent1TER1Teradyne Inc1Texas Instruments1texas-dmv1the future of humanoids in robotics.1the number of humanoid robots within the next decade1the release of the September issue of the magazine.1The University of Hong Kong1time taken for the robot to autonomously run the task1Top vendor positions in global humanoid shipments.1Total capital raised1Total capital raised by Norbert Health.1total Cybercabs in Robotaxi fleet1total memory demand with 1 million humanoid robots1total memory demand with 10 million humanoid robots1total memory SAM per unit1Total number of trajectories collected.1Total robotic systems procurement1Total trajectories in the engine.1Toyota Motor Manufacturing Canada1training duration1training hours for LDA-1B model1training video hours1transactions1TranscEngram1TRON 21TVS1u.s.-federal-communications-commission1UMAC1UMI1UMI and teleoperation in robotics1UnitreeRobotics1units1users1VAC1validated run uses 64 nodes of 4× GB200 for 60K iterations, roughly 68 hours (17.4K GB200-hours).1Veeda AI1video generation1Wing1Wonik Robotics1xiaomi-ev-factory1XPENG Robotics1XPENG Robotics funding1Y Combinator1Zhejiang University1ZiNovaLabs1三菱電機1出資1宇樹科技1燈がアスターに出資する計画1
manipulation tasks120 units“across 120 language-conditioned manipulation tasks”@NVIDIARobotics on X
market opportunity$0“the companies that benefit is not only be the robot manufacturers but the real picks and shovels will be the suppliers that provide the robot’s brain, eyes, muscles, joints, sensors and nervous system.”@MilkRoadAI on X
supply chain gap in UxV and robotics components$0“the companies solving that layer are the real infrastructure play”@OperationsPLS on X
Hydra-0 training2202 hrs“It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems.”@techniahqrobot on X
XPENG Robotics funding$900million“XPENG’s robotics business raised more than $900 million at a post money valuation above $6.3 billion, representing the largest single private financing recorded in China’s embodied AI sector to date.”Humanoid Digest: August 2026 | XMAQUINA DAO
Alloy Robotics funding$11.5million“Sydney based Alloy Robotics raised A$11.5 million in a seed round led by Square Peg, with Blackbird, Airtree and Skip Capital among the returning investors.”Humanoid Digest: August 2026 | XMAQUINA DAO
Figure Index uploads16,000,000 units“Figure says Index has accumulated more than 16 million video uploads across 108 countries, with 264,000 app downloads and more than 44,000 weekly active users.”Humanoid Digest: August 2026 | XMAQUINA DAO
the number of humanoid robots within the next decade1,000,000,000 units“Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle that accelerates after starting slowly.”@MilkRoadAI on X
Embodied AI model36,000,000,000 units“A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it.”@techniahqrobot on X
Degrees of Freedom for XPeng82 units“XPeng (IRON): 82 DoF (‼️)”@pepse02 on X
Degrees of Freedom for Tesla50 units“Tesla (Optimus): 50 – 72 DoF”@pepse02 on X
Degrees of Freedom for Boston Dynamics50 units“Boston Dynamics (Electric Atlas): 50 DoF”@pepse02 on X
Degrees of Freedom for UBTECH41 units“UBTECH (Walker S1): 41 – 52 DoF”@pepse02 on X
Degrees of Freedom for Figure35 units“Figure (Figure 02): 35 DoF”@pepse02 on X
FieldAI-powered robot1 units“A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot.”@fieldai_ on X
Cost of the GR-1 humanoid$125,000“Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen.”@rich_odinn on X
total memory demand with 1 million humanoid robots$600million“that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
total memory demand with 10 million humanoid robots$6billion“while 10 million robots could create a $6 billion–$8 billion opportunity.”@MelvinInvests on X
the future of humanoids in robotics.1 units“The robot revolution won’t be won by the humanoid with the best backflip.”@clavion95 on X
total memory SAM per unit$250“we see a SAM range of between $250-$350 for DRAM and $350-$450 for NAND, for a total memory SAM of between $600-$800 or more per unit.”@ParadisLabs on X
cable stretch10,000 units“cable stretch over 10,000 continuous cycles destroys sub-millimeter precision.”@smsehy on X
rallies100 units“Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time.”@ctorobotics on X
Atlas robot1 units“Boston Dynamics is already manufacturing production-ready versions for real-world industrial work.”@KaptanHindustan on X
insertion trials conducted over 40 minutes313 units“The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier.”Sanctuary AI puts humanoid tech on industrial robots
success rate of the wire insertion task$99.5“Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5%”Sanctuary AI puts humanoid tech on industrial robots
Humanoid robots500,000 units“industry-wide estimates pointing toward roughly 500,000 units/year by 2027 across Optimus, Figure, 1X, Unitree, and others.”@davidcao01 on X
Drones owned by the Pentagon200,000 units“The Pentagon's Drone Dominance Program has committed $1 billion to purchasing more than 200,000 drones by 2027, scaling to 340,000 by 2028.”@davidcao01 on X
ladder climb15 units“the company's humanoid climbing 15 feet up a ladder and 15 feet back down with no human input”@IntEngineering on X
Actuator BOM contribution40 units“Actuators can potentially represent ~40–60% of a humanoid's BOM.”@santoshsingh1 on X
Gearbox cost contribution30 units“the gearbox itself can represent roughly 30–50% of actuator cost.”@santoshsingh1 on X
robot handling components and folding storage boxes1 units“One robot handles components and folds storage boxes.”@Olivier__OG on X
robot capturing work inside the factory.1 units“Another robot captures the work from inside the factory.”@Olivier__OG on X
Operational time of an early prototype.10.5 hrs“Lightberry previously deployed an early prototype –– Beach Boy Robot –– at the ElevenLabs Summit, where the robot operated for 10.5 hours as an automated event photographer, interacting with attendees and uploading images autonomously.”Lightberry Unveils Lumi: A $40k Interactive Humanoid Built on a Unitree Core | Humanoids Daily
Gemini Robotics 2 (VLA)1 units“three models: Gemini Robotics 2 (VLA) converts vision+language into motor control first DeepMind VLA to control a full humanoid feet-to-fingertips under one checkpoint.”@csentropy on X
Gemini Robotics ER 2 (VLM)1 units“Gemini Robotics ER 2 (VLM) the embodied-reasoning brain; publicly available.”@csentropy on X
Gemini Robotics On-Device 2 (VLA)1 units“Gemini Robotics On-Device 2 (VLA) runs locally, adapts to new embodiments in a few hours.”@csentropy on X
NBT average for RandER.0.197 units“RandER: 0.197 ± 0.020 (SEM)”MemoryAnchors
NBT average with 1% Memory Anchors removed.0.171 units“−1%: 0.171 ± 0.018 (SEM)”MemoryAnchors
NBT average with 5% Memory Anchors removed.0.284 units“−5%: 0.284 ± 0.027 (SEM)”MemoryAnchors
NBT average with 10% Memory Anchors removed.0 units“−10%: 0”MemoryAnchors
continuous locomotion demo1.5 units“SOLO completed a continuous 1.5 km outdoor route using one chest mounted depth camera and proprioception crossing stairs, slopes, grass and uneven ground.”@techniahqrobot on X
Total number of trajectories collected.2,100,000 units“2.1 million trajectories”@em3kagmi on X
Number of tasks published.1,600 units“1,600+ published tasks.”@em3kagmi on X
Total trajectories in the engine.3,000,000 units“the engine on Base had reached 3 million trajectories from 123,000+ contributors.”@em3kagmi on X
Number of contributors for the engine on Base.123,000 units“from 123,000+ contributors.”@em3kagmi on X
Delivery timeline for a data center.30 hrs“Turner’s prefab arm xPL Offsite delivered a hot-aisle containment system for a 30MW rapid-deployment data center.”Dynamo Dispatch (2026/08/24) - by Santosh Sankar
Gemini Robotics ER2 units“I believe Gemini Robotics ER 2 is a clear example here.”@zhodonx on X
robot data collection50 hrs“Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.”@deepakpathak on X
Unitree H2$29,900“A 29900$ MACHINE IS DANCING ON A PAVEMENT AND NOT ONE PERSON WALKING PAST LOOKS UP.”@dredgefactory on X
entry models of Unitree H2$.“Entry models go for 13500$.”@dredgefactory on X
current humanoid BOM~$68k“Current humanoid BOM = ~$68k based on channel checks across 3 humanoid OEMs (UK and US). ”@ParadisLabs on X
actuation cost33,800 units“- Actuation = 33.8% of current BOM”@ParadisLabs on X
dextrous hands cost30,300 units“- Dextrous hands = 30.3%”@ParadisLabs on X
teleoperation for new tasks100 hrs“A new task used to mean a hundred hours of teleoperation and a training run.”@humanoidsdaily on X
time taken for the robot to autonomously run the task11 units“Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11 minutes later.”@humanoidsdaily on X
robot climbing a ladder1 units“Figure 03 can now climb a ladder fully autonomously.”@fuzzyxbt on X
sim-to-real gap1 units“A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world.”@continuumlabs_ on X
Unitree G1 humanoid robot1 units“The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track.”@spaceandtech_ on X
Atlas humanoid robot1 units“Boston Dynamics introduced their new, all-electric Atlas humanoid robot, noting its superior real-world application to previous iterations.”Why Boston Dynamics Gave Their Atlas Robot a Head
Unitree Robotics$50billion“Unitree Robotics' Shanghai IPO saw its valuation soar to $50 billion after a 460% debut surge, fueled by retail investors oversubscribing 8,000 times.”China’s Robot Boom Tests Investor Discipline
Unitree Robotics5,500 units“Last year Unitree shipped more than 5,500 humanoid robots, and together with rival AgiBot accounted for more than 70% of the roughly 13,000 humanoids shipped globally.”China’s Robot Boom Tests Investor Discipline
Unitree Robotics$250million“Revenue more than quadrupled last year to roughly $250 million, and the company is profitable — a distinction shared by almost none of its humanoid peers, foreign or domestic.”China’s Robot Boom Tests Investor Discipline
Unitree Robotics$904million“Unitree, formally Hangzhou Yushu Technology, raised 6.1 billion yuan ($904 million) and became the first humanoid robot maker listed on a mainland Chinese exchange.”China’s Robot Boom Tests Investor Discipline
robot programming1 units“If showing it once is enough, that changes both how fast a robot becomes useful and who can work with one.”@TheHumanoidHub on X
UMI and teleoperation in robotics1 units“GEN-1.5 is driving the final nail in the coffin.”@DrJimFan on X
Reflect V1.0 from Flexion Robotics.0 hrs“A robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator.”@spaceandtech_ on X
Predicted deployment of humanoid robots in homes.2,000,000,000 units“62% of that eventual 3 billion — roughly 2 billion units — end up inside homes, not factories.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Projected cost drop for humanoid robots.$17,000“falling to around $17,000 by 2030 — converging with Unitree's G1, already priced near $16,000.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Deployment of robots in BMW's manufacturing line.30,000 units“Figure's robots spent 11 months on BMW's Spartanburg line, contributing to 30,000+ vehicles.”Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
BMW Group production30,000 units“the Figure 02 robot supported the production of more than 30,000 BMW X3 vehicles over ten months.”Press-Information June 25th 2026
BMW Group's production capabilities with humanoid robots.30,000 units“Figure 02 supported the production of more than 30,000 BMW X3 vehicles.”BMW Group deploys Figure 03
video generation1 units“Atlas generates images and videos from one or more images with pixel-perfect camera control, outputting up to 1 minute of video at 1440p.”World Labs Atlas
Watch this Cybercab navigate through a very busy downtown Austin with hundreds of people around. You can see all the people the car sees on the screen. A lot going on and it handles it all perfectly. https://t.co/yCYHWOzZYt
11:16 PM ET
@smsehy
11:16 PM ET@smsehy
@smsehy on X
Establishing shared verification lines for advanced packaging accelerates equipment qualification cycles, helping local supply chain partners debug sub-micron bonding and cleaning tools before full production ramps. https://t.co/w0mK5hwPXu
11:16 PM ET
@smsehy
11:16 PM ET@smsehy
@smsehy on X
Scaling co-packaged optics moves the primary physical constraint from silicon photonics fabrication to precision automated fiber alignment, laser thermal stability, and high-throughput optical testing infrastructure. https://t.co/34R5fH33C4
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
Tactile dexterous hands provide high compliance, but deploying them into industrial assembly requires rigorous cycle testing to ensure flexible skin sensors and internal tendon cables survive harsh abrasive factory environments. https://t.co/WbWWApSM8A
11:15 PM ET
@smsehy
11:15 PM ET@smsehy
@smsehy on X
The physical AI bottleneck is not token volume, but rich force-torque telemetry and tactile slip dynamics. Learning physical interaction requires real-world data pipelines that log contact physics at kilohertz sample rates. https://t.co/YoW0X7SyiX
11:12 PM ET
@smsehy
11:12 PM ET@smsehy
@smsehy on X
Crowdsourcing simulation trajectories solves high-level spatial exploration, but closing the sim-to-real gap on the plant floor requires high-rate force-torque sensor telemetry and ground-truth material compliance data. https://t.co/JPGACFLgOj
11:11 PM ET
@smsehy
11:11 PM ET@smsehy
@smsehy on X
Simulating visual environments generates kinematic diversity quickly. The persistent physical wall remains non-rigid contact mechanics and micro-slip telemetry, where synthetic physics engines diverge from actual plant floor tooling. https://t.co/XodF4KsgqV
11:10 PM ET
@smsehy
11:10 PM ET@smsehy
@smsehy on X
255 million vehicles and global manufacturing plants already generate the physical sensor telemetry that foundation models need to learn real-world physics. Digital AI scales in datacenters, but physical AI requires industrial plants that understand ten-year hardware duty cycles. https://t.co/agvaM0yiMT
11:04 PM ET
Agility
11:04 PM ETAgility
@CapitalSqueez on X
$CCXI Jeff Bezos just followed Chris Paxton. Paxton is one of the sharpest minds in embodied AI — currently at Agility Robotics (Digit), previously Meta and NVIDIA. He lives and breathes the hard problems: sim-to-real, faster-than-demo execution, generalist robot policies, force-aware manipulation. This isn’t a random follow. Amazon already invested in Agility and ran Digit pilots in its warehouses. @agilityrobotics @HumanoidInvest @slinkyhammer @SCSQ2022 @valueInIdeas @chris_j_paxton
9:46 PM ET
Tesla
$TSLA
9:46 PM ETTesla
@SawyerMerritt on X
Under the hood of the Cybercab https://t.co/RkLn2xRUpA
6:02 PM ET
SASanctuary AI
6:02 PM ETSASanctuary AI
@TheSanctuaryAI on X
Curious how robots manipulate objects they can’t fully see? Sanctuary AI Co-Founder & Chief Engineering & Operations Officer Olivia Norton explains why touch and force feedback are critical for dexterous manipulation, especially when objects are occluded or outside a robot’s field of view. Learn more about our commercial Physical AI solutions at https://t.co/nHFy5w5pQW Recorded at the Humanoid Robot Forum during Automate 2026. #PhysicalAI #Robotics #Dexterity #Automation #AI #SanctuaryAI
6:02 PM ET
Tesla
$TSLA
6:02 PM ETTesla
@smsehy on X
65 million miles of Tesla FSD fleet data. 5% safer than human driving by their own metrics. Safety certification bodies require per-scenario validation across an ODD matrix, not fleet-aggregate statistics. ISO 26262 ASIL D qualification adds 12 to 18 months per platform. That certification pipeline, not the demo reel, sets the shipping date.
4:32 PM ET
Tesla
$TSLA
4:32 PM ETTesla
@SawyerMerritt on X
More info about @Tesla's Cybercab from the rider guide and compliance guides that they publicly released earlier today: • It has 20.2-cu ft (572-L) of rear cargo capacity. • The trunk can accommodate up to 220 lb (100 kg). • Cybercab has a very low 16.5" step-in height. • Cybercab is 55.4" tall, 69" wide (nice) and 5.7" of ground clearance. • Interior legroom is 43.4 inches. • Headroom is 38.3 inches. • Tesla says the trunk can fit 2 checked bags + 2 carry-ons. • It can fit 1 large folded stroller and 1 small folded wheelchair. • Cybercab uses Epic Games' Unreal Engine for UI. • Cybercab has…
4:27 PM ET
OPOpenAI
4:27 PM ETOPOpenAI
@techniahqrobot on X
GPT-6 Astra is here, and it might be one of the most important AI releases yet. OpenAI says the model hits 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3 and a perfect 100% on ExploitBench. It also shows big improvements in computer use, science, coding, cybersecurity and professional work. What’s really interesting for humanoid robotics is what happens when this kind of stronger reasoning gets closer to the physical world. A humanoid needs way more than just good locomotion. It has to understand instructions, make sense of cameras and sensors, plan long sequences of actions, recover when…
1:00 PM ET
DRDusty Robotics
1:00 PM ETDRDusty Robotics
@ctorobotics on X
Construction plans, printed directly onto the floor. 🤖🏗️ Meet FieldPrinter 2 from Dusty Robotics, an autonomous layout robot designed to turn digital construction models into full-scale markings directly on the jobsite slab. Instead of crews manually measuring and marking layouts, the robot can print walls, MEP penetrations, anchor points, labels, QR codes and other information from coordinated BIM or CAD models. Dusty states the system can achieve 1/16-inch (1.6 mm) layout accuracy. A simple robot solving a very real construction problem. Could robots like this become standard equipment on…
11:54 AM ET
Tesla
$TSLA
11:54 AM ETTesla
@Newsforce on X
The same activist network behind “No Kings” and other major protests is now mobilizing against data center construction and Flock license plate surveillance cameras, according to a Fox News Digital investigation and a new report. The report says organizations linked to the network have appeared across protests targeting Trump, Elon Musk, Tesla, Israel and ICE, with overlapping groups now turning their focus toward technology infrastructure and surveillance. It also highlights organizations funded by Neville Roy Singham, a Shanghai based tech billionaire whose nonprofit and media network has…
5:18 AM ET
@smsehy
5:18 AM ET@smsehy
@smsehy on X
Relying strictly on passive optical sensors leaves perception vulnerable to low-angle sun glare and heavy precipitation. True Level 4 reliability requires diverse physical sensing principles where radar and lidar provide active range verification when vision degrades. https://t.co/OZbB2HriLj
5:18 AM ET
@smsehy
5:18 AM ET@smsehy
@smsehy on X
Moving 4D millimeter-wave radar processing to satellite architectures reduces peripheral sensor bulk, but routing high-bandwidth raw point cloud streams across vehicle SerDes links demands strict real-time bus scheduling. https://t.co/DLqDmW3duI
5:15 AM ET
@smsehy
5:15 AM ET@smsehy
@smsehy on X
Virtual ECU simulation environments allow engineers to execute thousands of hours of automated fault-injection safety verification long before the first physical prototype chassis is built. https://t.co/T652KcDyWs
5:10 AM ET
@smsehy
5:10 AM ET@smsehy
@smsehy on X
Scaling purpose-built robotaxi platforms depends on reducing vehicle bill of materials while maintaining redundant low-voltage power networks and automated sensor cleaning capabilities. https://t.co/iFsEc6dg8c
5:07 AM ET
@smsehy
5:07 AM ET@smsehy
@smsehy on X
Video-to-3D simulation solves visual scene reconstruction in minutes. Bridging that into physical robotic manipulation requires grounding the synthetic physics engine in actual contact mechanics and tactile friction data. https://t.co/GVhaPrrcwQ
5:05 AM ET
@smsehy
5:05 AM ET@smsehy
@smsehy on X
Crowdsourcing browser-based teleoperation provides high-level kinematic paths. Converting those trajectories into production-grade policies still requires ground-truth joint torque feedback and high-rate tactile sensing from physical hardware. https://t.co/mPm6ZjCY5c
4:47 AM ET
RORockchip
4:47 AM ETRORockchip
@seeedstudio on X
🔥🔥NEW Launch: reComputer RK3576 Dev Kit/Module/IO Board is Officially HERE!!!! Level up your edge AI development with Rockchip #RK3576 today! 🎉 🧩🧩Dev Kit / Module / IO Board: https://t.co/xQVIT62cbw Powered by #Rockchip #RK3576 octa-core #CPU + 6 TOPS #NPU, this series delivers reliable, low-latency on-device AI inference without cloud dependency, fully empowering industrial edge intelligence, smart vision, local #LLM/#VLM, and offline speech AI applications. 💻🤖 ✅ Powerful Edge AI Performance -YOLO11 at 77.9FPS (640×640) -DeepSeek/Qwen/Whisper -8K video decoding and 4K@60fps encoding…
4:15 AM ET
@OperationsPLS
4:15 AM ET@OperationsPLS
@OperationsPLS on X
408 tactile sensors closes the dexterity gap. When robots feel force distribution, slip, and texture in real time, assembly tasks that required human hands become automatable. Haptic sensing bridges vision and manipulation. https://t.co/ejznjmDQeT
2:30 AM ET
OROrbbec
2:30 AM ETOROrbbec
@seeedstudio on X
Build an accessible #EmbodiedAI kit. 🤖 Orbbec Gemini 2 + reBot #Robotic Arm bring RGB-D perception and visual grasping into one open-source, hackable platform. Detection → Grasping Explore the build ↓ https://t.co/Y3qBRaczOh https://t.co/yusA4HEyWo
2:28 AM ET
@tphuang
2:28 AM ET@tphuang
@tphuang on X
Problem is that China is now producing so many advanced gadgets that are not available to Americans. This is not restricted to auto sector. Do Americans want to not have access to robots, AI toys, robot sweepers & action cameras? China is the only country able to make a lot of this new stuff.
5:01 PM ET
@SemiAnalysis_
5:01 PM ET@SemiAnalysis_
@SemiAnalysis_ on X
As the industry moves towards Co-Packaged and Near-Packaged Optics, the fiber attach is forced to land on the PIC itself. Fiber coupling is a very precise endeavor, with micron level precision requirements. An edge coupler wants the fiber core roughly within half a micron of the waveguide otherwise this leads to unwanted coupling losses which are unaffordable for high bandwidth throughput. This precision is brought usually with active alignment where each fiber is positioned at sub-micron accuracy (usually through signal peak calculations) and then glued down. This is however a serial process…
3:57 PM ET
XYXynova
3:57 PM ETXYXynova
@HumanoidsHQ on X
Xynova just unveiled Prima 1, an advanced robotic hand featuring 22 degrees of freedom. It uses vision and tactile sensing to interact with objects more intelligently, while its direct-drive motors allow it to move rapidly and handle loads of up to 20 kg. The progress in robotic hands is getting insane. https://t.co/coRsvqVcA0
3:09 PM ET
CACaterpillar
3:09 PM ETCACaterpillar
Caterpillar | Caterpillar and FieldAI Advance AI-Powered Industrial Innovation
- News - Corporate Press Releases - Corporate Press Release Archive - Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Caterpillar and FieldAI Advance AI-Powered Industrial Innovation Leveraging robotics, digital twins and NVIDIA technologies, the collaboration helps create safer, smarter and more productive operations IRVING, Texas, Sept. 2, 2026 – As industries face growing labor shortages and increasing productivity demands, Caterpillar Inc. (NYSE: CAT) is collaborating with FieldAI to advance physical AI, autonomy and robotics that help jobsites and factories operate safer…
2:33 PM ET
https://x.com/Chrisjjosephs
2:33 PM EThttps://x.com/Chrisjjosephs
Chris Josephs on X: "We're hiring again for our growth team at @joinautopilot
> Full time UGC creator
> Experience behind the camera on socials
> NYC based
> Competitive pay + equity
> Put 'Autopilot' in bio & others will instantly try to poach you
Some stats on the team you'd join
> 3.4M X fol… / X
Post Log in Sign up Post Chris Josephs on X: "We're hiring again for our growth team at @joinautopilot \> Full time UGC creator \> Experience behind the camera on socials \> NYC based \> Competitive pay + equity \> Put 'Autopilot' in bio & others will instantly try to poach you Some stats on the team you'd join \> 3.4M X followers \> 2M IG followers \> 500K tiktok followers \> Push 75M impressions/month \> $34M ARR \> one of fastest growing RIA's in America DM me or send to a friend!" - Chris Josephs @Chrisjjosephs We're hiring again for our growth team at @joinautopilot \> Full time UGC…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
@NVIDIARobotics on X
🤖 A robot policy can be compact enough to run onboard and fast enough to keep the arm moving continuously. Post-trained NVIDIA Cosmos 3 Edge on NVIDIA Jetson AGX Thor T5000 generates roughly 2.13 seconds of robot motion in about 1.53 seconds, then replans from fresh camera and robot-state observations. Developers can test the same policy in closed-loop RoboLab simulation across 120 language-conditioned manipulation tasks before evaluating on hardware.
11:54 AM ET
XSX Square Robot
11:54 AM ETXSX Square Robot
@TheHumanoidHub on X
X Square Robot has introduced TwinDEX: a co-designed pair of three-finger, 9-DoF dexterous hands, one wearable for data collection, one matched robot end effector for deployment. The wearable and the robot hand share the same kinematics, geometry, materials, look, and sensors, so human demos map straight to the robot without retargeting. Human data collection improves throughput 5.3x compared to teleoperation, and a policy can be trained with a few hundred episodes without any robot data.
11:26 AM ET
NVIDIA
$NVDA
11:26 AM ETNVIDIA
@MilkRoadAI on X
Sam Altman is saying that OpenAI plans to build a humanoid robot, along with other designs because the world around us was built for humans (Save this). Doors, stairs, computers, tools, kitchens, vehicles, and factory equipment are all designed around the human body, a robot with a similar shape could therefore perform useful tasks without requiring people to redesign the entire world. His bigger vision is that one day, everyone could have a personal robot that handles the jobs they do not want to do like cleaning, carrying things, operating equipment, helping elderly people, or completing…
11:10 AM ET
@OperationsPLS
11:10 AM ET@OperationsPLS
@OperationsPLS on X
The supply chain gap in UxV and robotics components is a structural opportunity that policy alone can't close quickly. Domestic actuator, sensor, and compute supply chains take years to build — the companies solving that layer are the real infrastructure play. @davidcao01
11:01 AM ET
Agility Robotics
11:01 AM ETAgility Robotics
Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Every object a different size, weight, and grip. Rearranging a full room's worth of stuff is the same generalized manipulation Digit uses to take on mixed loads and changing layouts on a real warehouse floor. #Agility #DigitRobot 00:00 View media 11:01 AM · Sep 2, 20261.6KViews 5 2 29 - cyberprince…
9:43 AM ET
NVIDIA
$NVDA
9:43 AM ETNVIDIA
@techniahqrobot on X
We’re cooked if robots can start learning from bodies they don’t even have. NVIDIA Brown Columbia and Harvard researchers released Hydra-0, a world model that represents robot actions as pixel motion. It was trained on about 2,202 hours of multi-embodiment video spanning human hands, handheld grippers, single-arm robots and bimanual systems. Instead of tying an action to one specific robot body, Hydra-0 predicts how objects should move in the image. The team also tested it on a real 14-DoF YAM robot, which bent a flexible pipe from a desired object motion. This is still a controlled…
9:00 AM ET
@RoboPapers
9:00 AM ET@RoboPapers
@RoboPapers on X
Embodied AI is exploding, and it’s been amazing to learn about it with you all. We have now recorded over a hundred discussions with the best researchers in the world on embodied artificial intelligence and robotics, covering topics like scaling robot learning, humanoid whole body control, tactile sensors, sim-to-real, and so much more. For our hundredth episode, we brought on our newest co-host, @ruijie_sg, to ask us what we’ve seen and learned in the first hundred episodes. Which were our most-watched episodes? Which institution shows up the most? Who was our most frequent guest? What did…
4:00 AM ET
Unitree Robotics
4:00 AM ETUnitree Robotics
Humanoid Digest: August 2026 | XMAQUINA DAO
Genesis Auction Wave 2! Launches June 24 Get DEUS homeDAO Portal Humanoid Digest: August 2026 Color theme: Another major robotics company reached the public markets as investment and company formation continued across the sector. .png) August 28, 2026 Category: Physical AI Read time: 11 minutes Share This: Unitree became the latest robotics company to go public in August, giving investors another public benchmark for valuing the sector. As more robotics companies mature outside private funding, public markets are beginning to play a larger role in how the industry is financed and valued. The…
10:31 PM ET
ZIZiNovaLabs
10:31 PM ETZIZiNovaLabs
LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows.
@ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, includi… / X
Post Log in Sign up Post LimX Dynamics on X: "Together with ZINOVA's Tool Intelligence, TRON 2 takes on increasingly complex construction workflows. @ZiNovaLabs builds on TRON 2 to explore an innovative robotic configuration for construction, demonstrating key tasks in a scaled-down tilt-up construction workflow, including formwork assembly, multi-layer rebar placement and tying. TRON 2 serves as a modular and extensible embodied robotic platform for multi-tool, multi-step tasks across large workspaces. Its dual arms handle construction tools and materials across different orientations and…
8:00 PM ET
NHNorbert Health
8:00 PM ETNHNorbert Health
Norbert Health Raises US$14 Million Series A for Autonomous Robotic Nursing Assistants
Norbert Health, a Brooklyn-based company that turns robotic hardware into autonomous nursing assistants, raised a US$14 million Series A announced September 1, 2026. The round was led by William A. Marino with Cardinal Group, with participation from Exor Seeds and CareIT, and an angel roster that includes Datadog co-founders Alexis Le-Quoc and Olivier Pomel, Noom co-founder and executive chairman Saeju Jeong, and Owkin chief executive Thomas Clozel. The financing brings total capital raised to US$19 million. The company, led by co-founder and chief executive Alexandre Winter, sells a control…
8:00 PM ET
NHNorbert Health
8:00 PM ETNHNorbert Health
Norbert Health Raises US$14 Million Series A for Autonomous Robotic Nursing Assistants
Norbert Health, a Brooklyn-based company that turns robotic hardware into autonomous nursing assistants, raised a US$14 million Series A announced September 1, 2026. The round was led by William A. Marino with Cardinal Group, with participation from Exor Seeds and CareIT, and an angel roster that includes Datadog co-founders Alexis Le-Quoc and Olivier Pomel, Noom co-founder and executive chairman Saeju Jeong, and Owkin chief executive Thomas Clozel. The financing brings total capital raised to US$19 million. The company, led by co-founder and chief executive Alexandre Winter, sells a control…
7:22 PM ET
TITeradyne Inc
7:22 PM ETTITeradyne Inc
Value Investing Edge on X: "8. $TER | Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." / X
Post Log in Sign up Post Value Investing Edge on X: "8. $TER \| Major semiconductor-test and industrial robotics play, owning Universal Robots and MiR while supplying testing equipment critical to AI chips and memory. Q2 2026 revenue reached $1.33B, up 104% YoY." - Value Investing Edge @StonkValue 16h $NVDA just said Physical AI could be 1,000% bigger than Digital AI. 10 best growth stocks to build a Robotics portfolio: 1\. $UMAC \| Positioned as a domestic supply-chain play for commercial and defense drones. Builds U.S.-made drone components. Q2 2026 revenue reached $16.7M, Show more - \\ \\…
7:00 PM ET
NVIDIA
$NVDA
7:00 PM ETNVIDIA
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
From Robot Development to Deployment with Isaac GR00T & Jetson Thor Visibility: Public Uploaded by: NVIDIA Omniverse Uploaded at: 2026-08-27 Published at: 2026-08-26 Length: 1:17:39 Views: 12267 Likes: 131 Category: Science & Technology Description Transcript [music] We're coming in hot. [laughter] This live stream is off the hook. You guys are really going to love this one. As you can see, right next to me, we've got a nice little stage uh camera set up with a nice little uh little robot setup. We're going to go into that a little bit later, but I'm so happy for you to join us. Welcome to…
7:00 PM ET
Nvidia
$NVDA
7:00 PM ETNvidia
Noble Machines Accelerates Humanoid Robot Development 3X | NVIDIA
Manufacturing \| Robotics Noble Machines Accelerates General Purpose Industrial Robot Development With NVIDIA Isaac GR00T Learn More Objective Noble Machines is advancing industrial robot development with the Moby general-purpose industrial robot and its supporting software stack, including a proprietary AI driven whole-body-control system. Moby is designed for complex, hazardous, and labor-intensive work across factories, logistics centers, construction sites, and semiconductor facilities, where operating reliably requires advanced perception, reasoning, adaptation, and physical interaction.…
6:07 PM ET
@drfeifei
6:07 PM ET@drfeifei
@drfeifei on X
@DrJimFan @theworldlabs Indeed Jim, a camera conditioned world model with spatial context has so much horizontal usage including real2sim for robotics!
2:09 PM ET
NMNoble Machines
2:09 PM ETNMNoble Machines
From Robot Development to Deployment with Isaac GR00T & Jetson Thor - YouTube
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in From Robot Development to Deployment with Isaac GR00T & Jetson Thor Tap to unmute 2x From Robot Development to Deployment with Isaac GR00T & Jetson Thor NVIDIA Omniverse 12,267 views Streamed 7d ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV…
2:09 PM ET
Nvidia
$NVDA
2:09 PM ETNvidia
Seeed reBot Arm B601-RS: Physical AI & VLA Model Course | NVIDIA DLI Series
Warehouse China Warehouse US Warehouse Germany Warehouse The store will not work correctly in the case when cookies are disabled. US Warehouse: Enjoy FREE UNIUNI shipping on orders under $50! (Excludes XIAO & Raspberry Pi series) \\ \\ the AI Hardware Partner For Industry Products Local Warehouse Documents Customization Solution Software Support Open Claw Quick Order Account Get more with a SeeedStudio accountclear \\ \\ 1 on 1 Support \\ \\ Local Delivery \\ \\ 30-Day DOA Guarantee \\ \\ 30-Day Returns Sign In Create Account My Orders\\ Track, change, cancel Account Information\\ Update…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch.
This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." / X
Post Log in Sign up Post World Labs on X: "All of this is powered by one unified architecture: a multimodal autoregressive diffusion transformer, pretrained from scratch. This foundation blends the best of modern LLMs and video models, benefiting from the architectural, algorithmic, and systems advances from both areas." - World Labs @theworldlabs 12h Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time. 00:00 View media 330…
1:28 PM ET
WLworld-labs
1:28 PM ETWLworld-labs
Atlas: A World Model for Spatial Intelligence | World Labs
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…
11:12 AM ET
Tesla
$TSLA
11:12 AM ETTesla
@MilkRoadAI on X
Elon Musk thinks humanoid robots could become a bigger industry than almost anyone expects (Save this). @elonmusk said the usefulness of a humanoid robot depends on three factors, the quality of its artificial intelligence software, the performance of its onboard chip and the dexterity of its mechanical systems, especially its hands. Because all three areas are improving rapidly, even small advances could multiply together and make robots significantly more capable over time. Musk also believes robots could eventually help manufacture more robots, creating a self reinforcing production cycle…
11:09 AM ET
@OperationsPLS
11:09 AM ET@OperationsPLS
@OperationsPLS on X
The get-up is the right metric. Recovery from falls under contact stress reveals actuator limits and balance policy robustness in ways clean demos never expose. China building a sport format around this is genuinely useful stress-testing. @0_x_Bender
3:53 AM ET
https://x.com/ChongZzZhang
3:53 AM EThttps://x.com/ChongZzZhang
C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Paper https://t.co/LlrDsajHqx
Videos https://t.co/jXLtG68oUg
We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." / X
Post Log in Sign up Post C. Zhang on X: "New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper https://t.co/LlrDsajHqx Videos https://t.co/jXLtG68oUg We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles." - C. Zhang @ChongZzZhang New paper release: Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids Paper arxiv.org/pdf/2608.29769 Videos nemantor.github.io/sparse-3d-trav… We study how to do learning and sim2real for 3d traversal, such as monkey bars and overhanging obstacles.…
9:50 PM ET
Gemini Robotics
$GOOGL
9:50 PM ETGemini Robotics
大仏ヨヨ on X: "Gemini Robotics ER 2を試してみたけど結構いいね。リアルタイムでOpenDuckMiniを追跡させてみたけどレスポンスは想定していたより悪くはなかった。どういうロボットかまで判別できているのが良かった。これ以外の機能もあるのでもう少し深堀しようと思う。
#OpenDuckMini,#microduckと同じ作者" / X
Post Log in Sign up Post 大仏ヨヨ on X: "Gemini Robotics ER 2を試してみたけど結構いいね。リアルタイムでOpenDuckMiniを追跡させてみたけどレスポンスは想定していたより悪くはなかった。どういうロボットかまで判別できているのが良かった。これ以外の機能もあるのでもう少し深堀しようと思う。 \#OpenDuckMini,\#microduckと同じ作者" - 大仏ヨヨ @U6kcXA6yRN47345 Gemini Robotics ER 2を試してみたけど結構いいね。リアルタイムでOpenDuckMiniを追跡させてみたけどレスポンスは想定していたより悪くはなかった。どういうロボットかまで判別できているのが良かった。これ以外の機能もあるのでもう少し深堀しようと思う。 #OpenDuckMini, #microduckと同じ作者 00:00 View media 9:50 PM · Aug 31, 2026721Views Reply 1 12 4
9:00 PM ET
Skild AI
9:00 PM ETSkild AI
@XSeyvion on X
Skild AI unveiled its S1 robot foundation model. They say a robot can learn a new task by watching a video of the task. That changes deployment. Instead of writing a fresh program for each job, an operator can demonstrate once and then ask the robot to repeat it. If the long tail of tasks becomes video based training, the fight shifts to safety checks that run before the robot touches the world. What task would you try first?
8:00 PM ET
Google
$GOOGL
8:00 PM ETGoogle
Introducing Agentic Video in Gemini
Introducing agentic video understanding with Gemini Sep 01, 2026 \| 7 min read - x.com - Facebook - LinkedIn - Mail - Copy link Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. Rohan Doshi Senior Product Manager, Google DeepMind Mario Lučić Research Director, Google DeepMind Share - x.com - Facebook - LinkedIn - Mail - Copy link Your browser does not support the audio element. Listen to article \[\[duration\]\] minutes This content is generated by Google AI. Generative AI is experimental…
6:19 PM ET
PAPerceptron AI
6:19 PM ETPAPerceptron AI
@techniahqrobot on X
A 36B parameter model just blurred one of robotics’ biggest boundaries, the gap between seeing a scene and acting on it. Perceptron AI has released Isaac 0.5, an open-weight Embodied AI model designed to use one backbone to understand video, reason about a physical task, and generate robot actions. One model connecting perception, reasoning, and robot control. @perceptroninc
5:00 PM ET
TUThe University of Hong Kong
5:00 PM ETTUThe University of Hong Kong
The Imitator Game — Benchmarking Robot Imitative Ability Beyond Action Prediction
Intent imitation, L0-L320,000+ paired episodesHuman evaluation Arena The Imitator Game BenchmarkingRobotImitativeAbilityBeyondActionPrediction Xunzhe Zhou 1,2,\,† · Yiyang Cai 2,3,\ · Fengyi Wang 2,3,\ · Ran Ju 1,2,\ · Hanxiang Ren 2,4 · Ruizhe Liu 1 Yu Zhang 1 · Qian Luo 1,2 · Feng Chen 1 · Pei Zhou 1,2 · Yi Ma 1,2 · Yanchao Yang 1,2,‡ 1The University of Hong Kong · 2TranscEngram · 3Fudan University · 4Zhejiang University \\ Equal contribution · † Project lead · ‡ Corresponding author Can a robot imitate what a human intends — not just what they do? We widen the gap between the demonstration…
4:42 PM ET
boston-dynamics
4:42 PM ETboston-dynamics
@pepse02 on X
Degrees of Freedom (DoF) is a key indicator which shows how many independent ways a robot can move, determining its flexibility and precision. $XPEV is leading by far here. XPeng (IRON): 82 DoF (‼️) Tesla (Optimus): 50 – 72 DoF Boston Dynamics (Electric Atlas): 50 DoF UBTECH (Walker S1): 41 – 52 DoF Figure (Figure 02): 35 DoF Unitree (G1 / H1): 23 – 43 DoF
2:46 PM ET
Tesla
$TSLA
2:46 PM ETTesla
Sawyer Merritt on X: "Here we go! Tesla has just added another 38 Cybercabs to its Robotaxi fleet, bringing the total up to 45, according to the Texas DMV.
Robots on robots on robots! This Thursday's launch event is gonna be awesome🤖🤖🤖" / X
Post Log in Sign up Post Sawyer Merritt on X: "Here we go! Tesla has just added another 38 Cybercabs to its Robotaxi fleet, bringing the total up to 45, according to the Texas DMV. Robots on robots on robots! This Thursday's launch event is gonna be awesome🤖🤖🤖" - Sawyer Merritt @SawyerMerritt Here we go! Tesla has just added another 38 Cybercabs to its Robotaxi fleet, bringing the total up to 45, according to the Texas DMV. Robots on robots on robots! This Thursday's launch event is gonna be awesome🤖🤖🤖 View media View media 2:46 PM · Aug 31, 2026448.2KViews 211 504 6K 217 - Sawyer…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:48 PM ET
ANAnthropic
1:48 PM ETANAnthropic
Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization - Humanoid Analytics
Close Menu - Companies - Company Tracker - Deployment Tracker - Funding Tracker - Deployments - Technology - Funding - Markets - Our Services X (Twitter) Mastodon LinkedIn Switch to Dark Design - easier on eyes.Switch to Light Design. Search Switch to Dark Design - easier on eyes.Switch to Light Design. Search Technology Standardizing Physical AI: Why Common Hardware Interfaces Could Accelerate Generalization The physical world will remain unpredictable, but common machine-readable contracts for sensors, actuators, state and safety could reduce the integration burden facing general-purpose…
1:21 PM ET
Unitree
1:21 PM ETUnitree
@techniahqrobot on X
Unitree just started Olly’s pre-employment internship in the real world 😅 And day one already looks like a proper probation period. It can answer train questions, find exits and walk with passengers inside Singapore’s Little India MRT, but station noise already caused it to mishear Tekka Centre as Teacher’s Centre and give the wrong directions. A useful reminder that real-world deployment is much harder . Source: CNA / Land Transport Authority Singapore
1:19 PM ET
SMSMRT
1:19 PM ETSMSMRT
@fieldai_ on X
A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot. It patrols autonomously with infrared sensing, checking buses and EV charging bays for abnormal heat so the safety team gets an early warning instead of an incident. Congratulations to SMRT on the launch of their new Mobility Command and Control Centre.
Live campaign Signal Boost Campaign Connect your X account and follow @axisrobotics — your badge lights up as soon as we see the follow. Connect →+1 PTS · credited instantly Total Trajectories 4,794,179 Total Users 196,995 7D New Tasks 494 Transactions 4,400,783 Live campaignBinance Keyless Wallet × Axis exclusive campaign View → For newbies6 newbie training tasks · unlimited slotsPractice only — not scored, earns no points.\\ Show tasks → All Tasks Every task progresses from Pre-training through Training to Post-training Live All▼ Filters0 Default▼ AllTo doDone TaskLifecycleDifficultySlots…
12:41 PM ET
TEtechnia
12:41 PM ETTEtechnia
@techniahqrobot on X
Humanoid robotics has its own language. Here are 30 acronyms you will see constantly API = Application Programming Interface BC = Behavior Cloning CoM = Center of Mass CoP = Center of Pressure DoF = Degrees of Freedom DRL = Deep Reinforcement Learning F/T = Force/Torque FK = Forward Kinematics GRF = Ground Reaction Force HIL = Hardware-in-the-Loop HRC = Human-Robot Collaboration HRI = Human-Robot Interaction IK = Inverse Kinematics IL = Imitation Learning IMU = Inertial Measurement Unit LiDAR = Light Detection and Ranging LLM = Large Language Model MPC = Model Predictive Control RGB-D = RGB +…
12:05 PM ET
Fourier Intelligence
12:05 PM ETFourier Intelligence
@rich_odinn on X
SoftBank dropped $200,000,000 on this company - and this 15-second interaction proves why Shanghai-based Fourier Intelligence deployed their $125,000 GR-1 humanoid onto public transit to assist an elderly citizen. This isn't CGI, it's live physical AI targeting a massive eldercare crisis. 3 high-octane truths behind this clip: Sub-Gram Force Feedback: Supporting a fragile arm without injury requires real-time tactile compliance, recalculating grip pressure millions of times per second. SoftBank & Aramco Backed: Fourier raised over $200M to build autonomous care-bots before global birth rates…
9:25 AM ET
VAVeeda AI
9:25 AM ETVAVeeda AI
Veeda AI Raises $90M Seed to Build "The Matrix" for Physical AI - WOWTALE
Skip to content - AI - · - Funding - · - Robotics Veeda AI Raises $90M Seed to Build “The Matrix” for Physical AI 8/31/2026 ・ 버섯돌이(Taehyun Kim) Training a robot to master a new motion takes thousands of trial-and-error attempts. The trouble is doing that training in the real world at all — robotic hardware doesn’t scale like compute, a single bad move can cause real physical harm, and real-world experience can’t be compressed or run in parallel. A startup betting it can solve that bottleneck with simulation just closed one of the largest seed rounds a Canadian company has ever raised.…
8:57 AM ET
MRMilk Road Pro
8:57 AM ETMRMilk Road Pro
@MelvinInvests on X
The next memory supercycle is hiding inside humanoid robots (Save this). This chart estimates that each humanoid robot could contain $600–$800 or more in memory related and semiconductor components, including DRAM, HBM, NAND flash, sensors, communication chips, and other devices. If manufacturers eventually produce 1 million humanoid robots, that could represent approximately $600 million–$800 million in memory content, while 10 million robots could create a $6 billion–$8 billion opportunity. However, the larger opportunity may come from the data centers that train these robots and process…
7:05 AM ET
Boston Dynamics
7:05 AM ETBoston Dynamics
@clavion95 on X
THIS ISN’T A ROBOT LEARNING TO DANCE. IT’S A ROBOT LEARNING HOW TO CONTROL ITS ENTIRE BODY. Walk. Run. Crawl. Roll. Handstand. Cartwheel. Then get back up and keep moving. Boston Dynamics trained Atlas using reinforcement learning, with human motion capture and animation as references. The flashy part is the acrobatics. That’s not the important part. The important part is everything happening between them. Accelerate. Decelerate. Shift balance. Drop to the floor. Recover from an awkward position. Reorient the body. Keep moving. Humans solve these problems without thinking. For a humanoid,…
6:51 AM ET
0X0xconglomerate
6:51 AM ET0X0xconglomerate
@0xconglomerate on X
$1 million in sales in under SEVEN hours, is the Microduck really that impressive? Here are other affordable open-source robots for context (+ my thoughts): ▸ @LeggedRobot Mini Pupper 2 (~$649): ROS2, SLAM/navigation, quadruped ▸ @ROBOTIS MINI (~$500): 16-DoF humanoid, smart servos, full-body motions ▸ @PetoiCamp Bittle X (~$319): cheapest option, self-balancing quadruped, beginner-friendly ⭐️@pollenrobotics + @huggingface releases: ▸ Reachy Mini ($399–499): vision + voice interaction, expressive head, AI assistant focus ▸ Microduck ($399): learned biped walking, onboard AI policies (out of…
6:09 AM ET
GSGoldman Sachs
6:09 AM ETGSGoldman Sachs
@ParadisLabs on X
Goldman Sachs: Humanoids and memory Memory is expected to be up to 40% of semiconductor dollar content for humanoid robots (excluding GPU/CPUs). Goldman Sachs: Although content can vary, we assume an average system (DRAM) memory of about 128GB for a single humanoid unit, with a non-volatile (NAND) memory of about 1TB. Based on an assumed system memory of 128GB and a non-volatile memory capacity of approximately 1TB, we see a SAM range of between $250-$350 for DRAM and $350-$450 for NAND, for a total memory SAM of between $600-$800 or more per unit. Given the significant edge compute workloads…
4:46 AM ET
@smsehy
4:46 AM ET@smsehy
@smsehy on X
Tendon-driven actuation solves thermal mass and packing density in dexterous hands, but cable stretch over 10,000 continuous cycles destroys sub-millimeter precision. Modeling hysteresis in simulation helps, but physical calibration routines on the plant floor remain mandatory. https://t.co/8CjrAjWCds
2:31 AM ET
MGMinth Group
2:31 AM ETMGMinth Group
Minth Group Launches Europe’s First Mass Production of Humanoid Robots
VESTI Poslednje vesti Jiangsu Reliance Energy Tech: 100,5 miliona ... Aug 31, 2026 Minth Group pokrenuo prvu serijsku ... Aug 29, 2026 RAS: Snažnija ekonomska saradnja ... Aug 26, 2026 Otvoren Javni poziv za srpske ... Aug 10, 2026 Investiciona misija u Šandongu i ... Jul 16, 2026 Srpske IT kompanije ostvarile zapaž... Jul 07, 2026 Novi poslovni kontakti za srpske ... Jun 30, 2026 Mentori iz cele Srbije okupili ... Jun 25, 2026 Minth Group Launches Europe’s First Mass Production of Humanoid Robots Aug 29, 2026 Šabac to become a European production base for mass-produced humanoid robots…
12:25 AM ET
SASanctuary AI
12:25 AM ETSASanctuary AI
Physical AI Platform | Industrial Automation Solutions | Sanctuary AI
We value your privacy We use cookies to enhance your browsing experience, serve personalised ads or content, and analyse our traffic. By clicking "Accept All", you consent to our use of cookies. CustomiseReject AllAccept All Customise Consent Preferences We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below. The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... Show more…
11:48 PM ET
Unitree Robotics
11:48 PM ETUnitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Unitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Brushless Motor Long Life, Low Inertia, High Speed, Force Control - Temperature and Position Sensors - Precision Gearbox (Backdrivable) - Highly Integrated - High Power, High Speed - High-Speed Communication - Model Max (Stall) Torque Torque Opposite to Speed Direction Baud Rate Max (No-Load) Speed No-Load Current - J288 1.5Nm J288 6,000,000bps J288 35rad/s (334rpm)@25.2V / 16.5rad/s (157rpm)@12V J288 0.45A@25.2V 0.27A@12V - S288 0.6Nm S288 6,000,000bps S288 16.5rad/s (157rpm)@12V S288 0.27A@12V Control…
9:26 PM ET
1X
9:26 PM ET1X
@QuasarShift on X
🚨 WHEN ENGINEERS ARE ALLOWED TO COOK - THIS ROBOT HAND HAS 22 DEGREES OF FREEDOM 1X's NEO humanoid hand, tendons moving like human muscles, picking up everything from eggs to tools 🤖✋ What most don't know: NEO hand = 22 motors, force sensors in each fingertip, learns by watching humans - not coding. 1X wants this in your home by 2026-27 to fold laundry, do dishes. That "cook" joke is real - engineers finally freed from industrial robot cages. Your next roommate might have this hand.
1:00 PM ET
GAGalbotRobotics
1:00 PM ETGAGalbotRobotics
@ctorobotics on X
Humanoid robots just took tennis to another level. 🎾🤖 Galbot robots completed 100+ consecutive rallies at the World Humanoid Robot Games 2026 while tracking the ball, moving around the court and responding in real time. This is not just about hitting a tennis ball. It combines vision, prediction, balance, whole-body control and real-time decision making. Would you play against a humanoid robot? 👀 🎥 Media: @GalbotRobotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the…
12:10 PM ET
Tesla
$TSLA
12:10 PM ETTesla
kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons.
His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once… / X
Post Log in Sign up Post kasper on X: "Elon Musk was asked when Tesla Optimus could become better than the best human surgeons. His argument is that a robot would not learn like one doctor. Every Optimus surgeon could share what every other unit had seen, including rare complications that a human might encounter only once in an entire career. That could make expert care available in places where finding a specialist is difficult or impossible. It also raises a question almost everyone can understand. When your life is on the line, do you trust the experienced human standing beside you, or the…
11:07 AM ET
Boston Dynamics
11:07 AM ETBoston Dynamics
@KaptanHindustan on X
Boston Dynamics' new Atlas robot is getting uncomfortably close to science fiction. 🤖😳 It doesn't just walk anymore. It twists, bends, lifts, carries, recovers from falls, manipulates objects, and moves with a fluidity that looks almost unnatural. Unlike humans, some of its joints can rotate in ways our bodies simply can't. A few years ago, robot videos looked impressive. Now they look like a warning. 🚨 The craziest part? Atlas is no longer just a lab experiment. Boston Dynamics is already manufacturing production-ready versions for real-world industrial work. At this rate, the question…
7:01 AM ET
SASanctuary AI
7:01 AM ETSASanctuary AI
Sanctuary AI puts humanoid tech on industrial robots
Skip to content Sanctuary AI has deployed technology developed alongside its Phoenix humanoid on an industrial wire insertion task, reporting a success rate above 99.5% and a 2.54 second cycle time. The trial used robotic hands rather than a complete humanoid to insert flexible wired plugs into moving targets on a live conveyor at a global Tier 1 automotive supplier. The result came from 313 insertion trials conducted over 40 minutes, CEO Daniel Friedmann told Forbes. Sanctuary calculated the success rate by comparing successful and unsuccessful insertions. Friedmann said the cycle time was…
2:37 AM ET
Unitree Robotics
2:37 AM ETUnitree Robotics
Hack One Robot, Reach the Next: How Unitree’s G1 Left the Door Open to Root Takeover | Humanoids Daily
Search articles Key Takeaways Show all - Security researcher Olivier Laflamme disclosed UniBLEed, an exploit chain yielding unauthenticated root execution on the Unitree G1 EDU humanoid robot over Bluetooth. - The attack bypassed security boundaries by abusing an authorization gap in Unitree’s cloud backend, which decrypted device-specific cryptographic keys for any registered user. - Root access grants complete control over the robot’s primary Locomotion PC, which governs real-time balance, motor trajectory, depth sensors, and audio-visual feeds. - The research demonstrated potential…
1:09 AM ET
STStellarix
1:09 AM ETSTStellarix
Stellarix on X: "This machine places 30,000 components PER HOUR 🤖
It's a pick-and-place robot building space-grade PCBs in Shenzhen. The blue boards look simple, but every single chip you see gets laser-checked for micron accuracy. This is how modern rockets, satellites, and rovers get their brai… / X
Post Log in Sign up Post Stellarix on X: "This machine places 30,000 components PER HOUR 🤖 It's a pick-and-place robot building space-grade PCBs in Shenzhen. The blue boards look simple, but every single chip you see gets laser-checked for micron accuracy. This is how modern rockets, satellites, and rovers get their brains 🧠" - Stellarix @Stellarixorine This machine places 30,000 components PER HOUR 🤖 It's a pick-and-place robot building space-grade PCBs in Shenzhen. The blue boards look simple, but every single chip you see gets laser-checked for micron accuracy. This is how modern…
6:18 PM ET
Tesla
$TSLA
6:18 PM ETTesla
@davidcao01 on X
The Supply Chain Shortage for UxV and Robots: Who Is Filling the Gap? Top 20 Components to Watch | New suppliers from Mexico, Taiwan, Japan, Korean | The VC and Entrepreneurs Angle Two weeks apart, two separate US policy actions closed off the low-cost path into American drone and robotics hardware. July 28, the FCC added foreign-made "advanced robotic devices" — humanoids, quadrupeds — to its Covered List, blocking new authorizations. August 13, the White House used Section 232 to impose tariffs of up to 100% on Chinese-made drones and their components.📷 Neither move is really about drones…
3:01 PM ET
Figure
3:01 PM ETFigure
@IntEngineering on X
Figure founder Brett Adcock has posted video of the company's humanoid climbing 15 feet up a ladder and 15 feet back down with no human input, three weeks after its first autonomous ladder climb. Figure credits its Helix AI system, whose System 0 layer runs balance and contact control a thousand times a second using stereo camera vision alongside the robot's own sense of body position. Figure has not released the technical details and the demonstration has not been independently verified.
10:56 AM ET
@santoshsingh1
10:56 AM ET@santoshsingh1
@santoshsingh1 on X
4/11 – What is the key question: ❌ Which humanoid robot will win? Tesla? Unitree? Figure? Someone else? ➡️What does EVERY humanoid robot need? Because the winner may change. The supply chain doesn't. Actuators can potentially represent ~40–60% of a humanoid's BOM. And inside the actuator? Gearbox Motor Driver Bearings Sensors Go one level deeper. The gearbox itself can represent roughly 30–50% of actuator cost. So the investment trail starts looking like: Robot → Actuator → Gearbox Follow the value.
10:03 AM ET
@Olivier__OG
10:03 AM ET@Olivier__OG
@Olivier__OG on X
𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧: 𝑾𝒉𝒂𝒕 𝑨𝑰 𝒍𝒐𝒐𝒌𝒔 𝒍𝒊𝒌𝒆 🥽 Xiaomi is testing humanoid robots inside its EV factory. Not on a stage. On the production floor. One robot handles components and folds storage boxes. Another robot captures the work from inside the factory. That may look simple. It is not. Factories are unforgiving environments. A lab can tolerate repeated failure. A production line cannot. That is why this matters. Material handling. Sorting. Logistics support. Box folding. Component movement. Routine industrial tasks. These are the jobs where humanoids may first create value. Not by…
9:28 AM ET
@techniahqrobot
9:28 AM ET@techniahqrobot
@techniahqrobot on X
BeyondMimic is now in Science Robotics. Berkeley and Stanford used a Unitree G1 to track human motions like sprinting, spin-kicks and cartwheels, then used guided diffusion to combine those skills for waypoint navigation and obstacle avoidance. mocap is still used for obstacle and waypoint locations, plus some state estimation. Humanoid agility is advancing fast. How much of it still depends on external sensing infrastructure? #HumanoidRobots #Robotics #PhysicalAI
9:26 AM ET
@techniahqrobot
9:26 AM ET@techniahqrobot
@techniahqrobot on X
BeyondMimic is now in Science Robotics. Berkeley and Stanford used a Unitree G1 to track human motions like sprinting, spin-kicks and cartwheels, then used guided diffusion to combine those skills for waypoint navigation and obstacle avoidance. mocap is still used for obstacle and waypoint locations, plus some state estimation. Humanoid agility is advancing fast. How much of it still depends on external sensing infrastructure? #HumanoidRobots #Robotics #PhysicalAI
8:00 AM ET
Boston Dynamics
8:00 AM ETBoston Dynamics
PrismaX on X: "Why is every humanoid robot child-sized?
The assumption is cost or safety. Austin Brown's answer is thermal. Surface area to volume worsens as you scale, and heat moves worse through longer limbs." / X
Post Log in Sign up Post PrismaX on X: "Why is every humanoid robot child-sized? The assumption is cost or safety. Austin Brown's answer is thermal. Surface area to volume worsens as you scale, and heat moves worse through longer limbs." - PrismaX @PrismaXai Why is every humanoid robot child-sized? The assumption is cost or safety. Austin Brown's answer is thermal. Surface area to volume worsens as you scale, and heat moves worse through longer limbs. 00:00 View media 8:00 AM · Aug 29, 20266.1KViews 13 8 90 1 - PrismaX @PrismaXai Aug 29 Why Robots Overheat, with Austin Brown of…
7:46 AM ET
LILightberry
7:46 AM ETLILightberry
Lightberry Unveils Lumi: A $40k Interactive Humanoid Built on a Unitree Core | Humanoids Daily
Search articles Lightberry designed Lumi with a rounded, character-driven aesthetic and animated digital eyes, aiming to make social humanoids feel approachable. Key Takeaways Show all - San Francisco startup Lightberry has launched reservations for Lumi, a $39,990 bipedal robot aimed at commercial entertainment, marketing, and developer deployments. - While mechanically derived from the Unitree G1 platform, Lumi replaces stock components with custom sensors, an 8-microphone beamforming array, and an NVIDIA Jetson Thor T4000 compute module. - Lightberry confirmed to Humanoids Daily that its…
6:01 AM ET
HYHyundai
6:01 AM ETHYHyundai
South Korea Commits KRW 2.3 Trillion to Build Full-Stack Humanoid Robotics Ecosystem by 2030 | Humanoids Daily
Search articles Key Takeaways Show all - Dedicated Humanoid Capital: South Korea is investing KRW 2.3 trillion ($1.66 billion) through 2030 to build an indigenous, full-stack humanoid robotics industry, backed by an additional KRW 2.8 trillion ($2.0 billion) for field verification. - Aggressive Localization Targets: The plan seeks to raise domestic localization of core humanoid components from 45% to 80%, transitioning legacy auto parts manufacturers into precision robotics suppliers. - State Procurement Pipeline: The government will purchase 1,080 humanoid robots and roughly 5,000 total…
4:12 PM ET
Gemini Robotics
$GOOGL
4:12 PM ETGemini Robotics
@csentropy on X
Announced July 30, 2026 (author Carolina Parada) as part of Gemini Robotics 2, three models: Gemini Robotics 2 (VLA) converts vision+language into motor control first DeepMind VLA to control a full humanoid feet-to-fingertips under one checkpoint. Partner-only. Gemini Robotics ER 2 (VLM) the embodied-reasoning brain; publicly available. Gemini Robotics On-Device 2 (VLA) runs locally, adapts to new embodiments in a few hours. Partner-only.
4:00 PM ET
NVIDIA
$NVDA
4:00 PM ETNVIDIA
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
1:30 PM ET
@du_maximilian
1:30 PM ET@du_maximilian
MemoryAnchors
01 · Continual Learning Challenge Data Sensitivity in Continual Robot Learning To understand Memory Anchors, we first need to take a closer look at why robot policies forget old tasks when learning new ones. Sequential Task Learning We explore the problem setting of imitation learning on tasks in sequence. Drag the slider to step through ten tasks. The horizontal axis is the learning progress, and the vertical axis is the evaluated tasks. The lighter the off-diagonal elements, the worse the forgetting. ER buffer size 0.5% (Tiny)1% (Small)5% (Medium) Training stage 12345678910 Stage 5 of 10…
10:56 AM ET
GEGeneralist
10:56 AM ETGEGeneralist
@chris_j_paxton on X
In-Context Learning Results Hint at a “GPT Moment” for Robotics For general-purpose robots to be useful and economical, you need to be able to teach them new skills on the fly. And now we can see how this will work, with in-context long horizon video demonstrations shown by companies like Generalist, Skild, Rhoda, Rhoda, and RobbyAnt. The idea is simple: prompt with a demonstration, mixed video and proprioception information. Language isn't enough -- it doesn't specify the problem well enough. And it's starting to really work. more in blog post
3:24 AM ET
@techniahqrobot
3:24 AM ET@techniahqrobot
@techniahqrobot on X
This might be one of the strongest humanoid locomotion demos yet. SOLO completed a continuous 1.5 km outdoor route using one chest mounted depth camera and proprioception crossing stairs, slopes, grass and uneven ground. No external localization or mapping. The same locomotion tech was used on Tiangong Omni at the 2026 World Humanoid Robot Games. @Xhumanoid_BJ #HumanoidRobot #Robotics #EmbodiedAI #Tiangong
1:43 AM ET
ARAxis Robotics
1:43 AM ETARAxis Robotics
@em3kagmi on X
Many People believe Physical might be unachievable not because robots lack arms or GPUs rather, because robots do not have enough real training data. Normal AI LLM can train on text that already exists on the internet but Robots cannot. A robot needs recordings of physical actions like how an arm moves, how a grasp starts to slip, or how an object sits at a slightly different angle. That data is expensive to collect in a lab, slow to produce, and usually too clean to match the real world. @axisrobotics approaches this differently by using a distributed network to collect physical interaction…
Error 401 (Bad Request)!!1 401. That’s an error. The server cannot process the request because it is malformed. It should not be retried. That’s all we know. Back Skip navigation Search Search with your voice Sign in 【中国製人型ロボットを分解】「Unitree G1」の構造を徹底分析｜人の動きをどう再現？｜高い運動能力の秘密 Tap to unmute 2x 【中国製人型ロボットを分解】「Unitree G1」の構造を徹底分析｜人の動きをどう再現？｜高い運動能力の秘密 日経クロステック【公式】 381,092 views 1 month ago Copy link Info Shopping If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this,…
6:18 PM ET
@Kirkland_Ellis
6:18 PM ET@Kirkland_Ellis
Foreign-Produced Advanced Robotic Devices and Certain Foreign-Produced Power Inverters Added to FCC Covered List | Publications | Kirkland & Ellis LLP
Top The Federal Communications Commission (FCC) has added foreign-produced advanced robotic devices and certain foreign-produced power inverters to its list of equipment and services that have been determined to pose “an unacceptable risk to the national security of the United States or the security and safety of United States persons” (the Covered List). Equipment on the Covered List cannot receive a new FCC equipment authorization, whether through certification or the Supplier’s Declaration of Conformity process. Because most electronic devices require FCC equipment authorization before…
3:04 PM ET
@TheSanctuaryAI
3:04 PM ET@TheSanctuaryAI
@TheSanctuaryAI on X
Robots Doing Stuff #64 | Delicate Object Handling Will you find crackers and grapes on the production floor? Probably not. But what you will find are tasks that require the manipulation of delicate, irregular, and easily damaged objects. Brittle crackers and soft grapes provide a simple way to put those capabilities to the test. Handling objects like these requires precise force control and continuous adjustment. The hand must maintain a secure grasp without crushing, cracking, or dropping each object as it transfers it to the plate. It makes for a great demo… and a great snack. #Dexterity…
2:13 PM ET
DYDynaRobotics
2:13 PM ETDYDynaRobotics
@DynaRobotics on X
Then we realized there is more. A fully folded napkin is not a finished job. It has to land in a bin, stacked, ready for staff to carry out so they can serve their guests. For months our napkins were folded well, but the bins were disorganized and ruined output quality drastically. The robot was placing each napkin wherever it happened to land, so staff had to square up the stacks before carrying them out. Ten positions in one small bin look nearly identical to the robot. Nothing in the scene tells it what comes next, only the instruction does. Precise language following in Dyna-2 is what…
12:39 PM ET
Hugging Face
12:39 PM ETHugging Face
@TheHumanoidHub on X
Home robots are coming. The first ones in will be the small ones that are safe around kids and pets. Hugging Face's Pollen Robotics just opened pre-orders for Microduck, a $399 biped. 25cm, under 800g, 15 motors, a camera, a small LiDAR, two IMUs, and an articulated beak that picks things up. Ships with 7 pre-trained behaviors including walking, kicking, and roller skating. Open on GitHub under Apache-2.0: the SDK, the simulator, and the RL training pipeline. So you can teach it new tricks.
12:39 PM ET
Hugging Face
12:39 PM ETHugging Face
The Humanoid Hub on X: "Home robots are coming. The first ones in will be the small ones that are safe around kids and pets.
Hugging Face's Pollen Robotics just opened pre-orders for Microduck, a $399 biped.
25cm, under 800g, 15 motors, a camera, a small LiDAR, two IMUs, and an articulated beak t… / X
Post Log in Sign up Post The Humanoid Hub on X: "Home robots are coming. The first ones in will be the small ones that are safe around kids and pets. Hugging Face's Pollen Robotics just opened pre-orders for Microduck, a $399 biped. 25cm, under 800g, 15 motors, a camera, a small LiDAR, two IMUs, and an articulated beak that picks things up. Ships with 7 pre-trained behaviors including walking, kicking, and roller skating. Open on GitHub under Apache-2.0: the SDK, the simulator, and the RL training pipeline. So you can teach it new tricks." - The Humanoid Hub @TheHumanoidHub Home robots are…
9:58 AM ET
PEPerceptron
9:58 AM ETPEPerceptron
@TheHumanoidHub on X
Perceptron's Isaac 0.5 is a 36B open-weight embodied foundation model with only 2.5B active per token. The model - Perception, reasoning, and control all read from one shared backbone, so it makes visual decisions mid-trajectory - Null-expert routing lets each token use between zero and eight of the 256 experts - 35+ embodiments and 100k+ hours of demonstrations, so policies port across robots fast The result Scaling general video from 1,000 to 1M hours cut the teleoperation needed to hit their action-loss target from 5,884 hours to 28. On most benchmarks for spatial, physical, and grounding…
9:52 AM ET
Fourier
9:52 AM ETFourier
Mayank Vora on X: "🤝 FOURIER GR-3 CARE ROBOT
Not every robot at the conference was built for factories.
The human-sized GR-3 is covered in soft material and responds through vision and touch. It is designed for companionship, education, public services and elderly care." / X
Post Log in Sign up Post Mayank Vora on X: "🤝 FOURIER GR-3 CARE ROBOT Not every robot at the conference was built for factories. The human-sized GR-3 is covered in soft material and responds through vision and touch. It is designed for companionship, education, public services and elderly care." - Mayank Vora @aiwithmayank Aug 27 China just showed what the next generation of robots will actually look like. Not prototypes trapped inside laboratories, but machines designed to carry people, pack phones, sort parcels and care for the elderly. Here are the wildest robots from Beijing’s 2026 World…
8:46 AM ET
AGAGIBOTofficial
8:46 AM ETAGAGIBOTofficial
MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆
Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first… / X
Post Log in Sign up Post MANUS™ on X: "Gold medals at the World Humanoid Robot Games! 🏆 Congratulations to our partner @AGIBOTofficial on winning 18 gold medals and topping the medal table at the 2nd World Humanoid Robot Games. Using @ManusMeta gloves for real-time teleoperation, the team's @AGILINKai OmniHand took first place in events including cable connection, unboxing, nail fixing, and bottle opening. An outstanding demonstration of dexterous manipulation. Across the competition in Beijing, many teams used MANUS Metagloves for real-time teleoperation. When every movement matters, MANUS…
8:28 AM ET
@continuumlabs_
8:28 AM ET@continuumlabs_
@continuumlabs_ on X
How does a robot actually “see” the world? It doesn’t see in the human sense. A robot builds its understanding of the environment by combining signals from multiple sensors. 📷 Cameras capture visual information: objects, colors, signs, people and more. 📡 LiDAR measures distance with laser pulses, helping create a 3D representation of the surroundings. 📶 Radar detects distance and movement, and can remain useful in conditions where cameras struggle, such as rain, fog or darkness. 🔍 Depth sensors estimate how far objects are and help the robot understand the shape and structure of nearby…
6:31 AM ET
PRPollen Robotics
6:31 AM ETPRPollen Robotics
Microduck - A tiny biped robot you can teach new tricks | Pollen Robotics
AV-1 MicroduckMade to move · Ready to learn A 25 cm open-source biped you train yourself with reinforcement learning. Playable out of the box. Pre-order for $399 Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and shipping★Open source★Pre-orders open August 27, 2026★$399 before taxes and…
6:31 AM ET
PRpollen robotics
6:31 AM ETPRpollen robotics
Thomas Wolf on X: "We have a huge news to share today!
Today we are unveiling the first truly accessible RL robot - welcome Microduck
A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforce… / X
Post Log in Sign up Post Thomas Wolf on X: "We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforcement learning. It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own. And all for less than $400. See all the details,…
4:00 AM ET
ARAxis Robotics
4:00 AM ETARAxis Robotics
Axis Robotics × Booster: From Digital Twins to a Robot Data Engine
Back How task-aligned simulation, real demonstrations, and continued pretraining can make each new Booster task easier to build than the last. Robot learning has a model problem. More importantly, it has a data-operations problem. Figure — Axis’s simulation solution spans third-person, head, and wrist observations while varying appearance, materials, object layout, lighting, and scene context. The objective is to preserve task structure while varying the details that should not control the policy. Introduction For robotics companies building new embodiments—and, increasingly, for the entire…
4:04 PM ET
Agility Robotics
4:04 PM ETAgility Robotics
Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor.
#Agility #DigitRobot" / X
Post Log in Sign up Post Agility on X: "Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. \#Agility \#DigitRobot" - Agility @agilityrobotics Whole-body range of motion, stress-tested by a workout class. Every joint in sync — timing, velocity, balance. The same control Digit uses on a real warehouse floor. #Agility #DigitRobot 00:00 View media 4:04 PM · Aug 26, 202611.3KViews 9 4 42 7 - Capital\Squeeze❄️ @CapitalSqueez Aug 27 Agility Robotics’ Digit is positioned to disrupt and…
3:42 PM ET
LIlightberry
3:42 PM ETLIlightberry
Robert Scoble on X: "This San Francisco robot can “see” you even if you are standing behind it thanks to a new array microphone that @lightberry and built.
As soon as you open your mouth that is.
It can recognize you speaking to it. And can track a variety of people standing around the robot.
Li… / X
Post Log in Sign up Post Robert Scoble on X: "This San Francisco robot can “see” you even if you are standing behind it thanks to a new array microphone that @lightberry and built. As soon as you open your mouth that is. It can recognize you speaking to it. And can track a variety of people standing around the robot. Like if one was in your kitchen sitting a dinner party. They did that to serve its real goal, to have its robot have the most interesting personalities. @aliattar and team introduced me to Lumi. You can order now for $40,000: https://t.co/M1MBgFJBli Why so expensive? We cover…
1:46 PM ET
@lightberry
1:46 PM ET@lightberry
@lightberry on X
Lumi is also the best humanoid for builders: 🤖 Head: shake, nod, tilt 👂 I/O: stereo cams, 360º mic array, loud speakers 👕 Body: G1-compatible 🧠 Compute: NVIDIA Thor 🖐️ Hands: parallel grippers
1:46 PM ET
@lightberry
1:46 PM ET@lightberry
@lightberry on X
Until today, humanoids shipped mute, deaf, and blind. Interactions got no love, sensors were always an afterthought, personality was forgotten. Result: robots could not be deployed in public.
1:46 PM ET
LILightberry
1:46 PM ETLILightberry
Lightberry on X: "MEET LUMI
THE WORLD'S MOST INTERACTIVE ROBOT
Assembled in SF, shipping in 2026 💛" / X
Post Log in Sign up Post Lightberry on X: "MEET LUMI THE WORLD'S MOST INTERACTIVE ROBOT Assembled in SF, shipping in 2026 💛" - Lightberry @lightberry MEET LUMI THE WORLD'S MOST INTERACTIVE ROBOT Assembled in SF, shipping in 2026 💛 00:00 View media 1:46 PM · Aug 26, 2026110.5KViews 62 63 484 136 - Lightberry @lightberry Aug 26 Until today, humanoids shipped mute, deaf, and blind. Interactions got no love, sensors were always an afterthought, personality was forgotten. Result: robots could not be deployed in public. 4 1 14 4.4K Lightberry @lightberry Aug 26 Lumi was designed to be around…
12:08 PM ET
DVDynamo Ventures
12:08 PM ETDVDynamo Ventures
Dynamo Dispatch (2026/08/24) - by Santosh Sankar
Dispatch by Dynamo Ventures SubscribeSign in Discover more from Dispatch by Dynamo Ventures The signal in the noise of the industrial renaissance. Each week, we distill the headlines that matter across the physical economy along with our unique perspective and opinion. Join the thousands of founders, executives, and investors who read it. Over 4,000 subscribers Subscribe By subscribing, you agree Substack's Terms of Use, and acknowledge its Information Collection Notice and Privacy Policy. Already have an account? Sign in Dynamo Dispatch (2026/08/24) Issue 384 \| The grid, the canal, and the…
8:38 AM ET
Boston Dynamics
8:38 AM ETBoston Dynamics
Aivetra Maxine on X: "5. USA 🇺🇸
Boston Dynamics just made Atlas a cameraman.
Perfect pans. Smooth tilts. Zero shake.
Hollywood meet your new robot DOP." / X
Post Log in Sign up Post Aivetra Maxine on X: "5. USA 🇺🇸 Boston Dynamics just made Atlas a cameraman. Perfect pans. Smooth tilts. Zero shake. Hollywood meet your new robot DOP." - Aivetra Maxine @Hey\Aivetra Aug 26 USA and China aren’t just making robots… They’re training them to fight, film, cook and even building cyber horses. Here are 6 insane ones you gotta see: 1\. Helix is walking blind (without cameras) 00:00 View media 19 29 126 84K - Aivetra Maxine @Hey\Aivetra Aug 26 2\. Robot doing laundry 00:00 View media 3 12 8.1K - Aivetra Maxine @Hey\Aivetra Aug 26 3\. China 🇨🇳 They’re…
6:10 AM ET
UNUnitreeRobotics
6:10 AM ETUNUnitreeRobotics
@UnitreeStore_SH on X
Unlock unlimited sports potential (Extra large joint movement space angle, 23~43 joints) Force control of dexterous hands, manipulation of all thingsImitation & reinforcement learning driven Robot world model, let’s create it together Unitree G1 Price from $13.5K. Experience G1 at the Unitree Store in Shanghai. Follow us for more robots, technology, and store experiences. 📍 2nd Floor, Jiuguang Department Store, West Nanjing Road, Shanghai 🕙 Open daily, 10:00–22:00 🚇 Metro Lines 2, 7 & 14(Jing'an Temple Station，静安寺站) #Unitree #UnitreeRobotics #UnitreeG1 #G1 #HumanoidRobot #Robotics…
6:10 AM ET
Google
$GOOGL
6:10 AM ETGoogle
@zhodonx on X
I’ve said before that I think Google & DeepMind are playing a longer game with models. This is still a firm stance. Because a lot of the time, i think people look at Google’s model strategy too narrowly; Every Gemini release immediately gets reduced to how it compares with other labs or whatever benchmark is trending that week. Meanwhile the it’s more about where all of that intelligence might show up next. Like in Reasoning, Vision, Video, Agents. And particularly robotics. I believe Gemini Robotics ER 2 is a clear example here. It was built on Gemini 3.5 Flash. Except, now its intelligence…
2:33 AM ET
@deepakpathak
2:33 AM ET@deepakpathak
@deepakpathak on X
@JieWang_ZJUI These are 5-10min long tasks, ~500 demos needed for VLAs. Practically takes much longer than 50-100hrs to collect 50hrs of robot data assuming people take break or make mistake too.
11:26 PM ET
https://x.com/HarryMellsop
11:26 PM EThttps://x.com/HarryMellsop
Harry Mellsop on X: "lights, camera, action [& robotics] 🧑🍳" / X
Post Log in Sign up Post Harry Mellsop on X: "lights, camera, action \[& robotics\] 🧑🍳" - Harry Mellsop @HarryMellsop lights, camera, action \[& robotics\] 🧑🍳 View media 11:26 PM · Aug 25, 2026235Views Reply 3 9 Scan to get the app
7:36 PM ET
@dredgefactory
7:36 PM ET@dredgefactory
@dredgefactory on X
A 29900$ MACHINE IS DANCING ON A PAVEMENT AND NOT ONE PERSON WALKING PAST LOOKS UP. 29900$ is a Unitree H2, the class this thing sits in. Entry models go for 13500$. Every beat throws its centre of mass and the feet catch it in real time - uneven stone, no tether, no handrail. Same loop that keeps it standing in a warehouse.
2:14 PM ET
@ParadisLabs
2:14 PM ET@ParadisLabs
@ParadisLabs on X
Humanoid BOM model: Current humanoid BOM = ~$68k based on channel checks across 3 humanoid OEMs (UK and US). - Actuation = 33.8% of current BOM - Dextrous hands = 30.3% - Structure = 7.6% - Sensing = 7.5% - Electrical = 6.0% - Vision = 4.7% - Compute = 4.6% - Power = 4.6% - Other = 0.9% * Piecing together various component costs across different Western OEMs. Numbers may be over/understated for this reason.
1:54 PM ET
@gupta_abhinav_
1:54 PM ET@gupta_abhinav_
@gupta_abhinav_ on X
@0fir0z @deepakpathak In the silicon valley world the race for robotics companies is to be similar to LLMs. But actually robotics needs many more concepts from computer vision. We are proud to say S1 is using so many of our past efforts in computer vision CC: @JitendraMalikCV
1:41 PM ET
Unitree Robotics
1:41 PM ETUnitree Robotics
Markets surge, track records fall, and in-context learning hits physical AI
- Home - Posts - Markets surge, track records fall, and in-context learning hits physical AI Markets surge, track records fall, and in-context learning hits physical AI Unitree’s market whiplash, an 8.86s 100m sprint, and how in-context learning is ending heavy fine-tuning. Humanoids Daily Aug 25, 2026 This week brought a stark look at the tension defining modern humanoid robotics: the gap between capital market euphoria, athletic spectacle, and the unglamorous realities of industrial utility. Unitree's blockbuster Shanghai STAR Market listing initially saw shares rocket over 600% to an…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" / X
Post Log in Sign up Post Skild AI on X: "We found that to match the accuracy that S1 can achieve with just one example of prompting, current VLA models would need to be post-trained with 50-100 hours of data collection followed by fine-tuning!" - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught…
1:19 PM ET
Skild AI
1:19 PM ETSkild AI
Skild AI on X: "S1 learns new tasks like a language model.
You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." / X
Post Log in Sign up Post Skild AI on X: "S1 learns new tasks like a language model. You prompt it with a video demonstration, and it outputs robot actions to complete the task in any environment and in any embodiment." - Skild AI @SkildAI Aug 25 Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning: 00:00 View media 427 1K 7.1K 3.4M - Skild AI @SkildAI Aug 25 It can be taught extremely long-horizon tasks,…
1:18 PM ET
Skild AI
1:18 PM ETSkild AI
@humanoidsdaily on X
Skild AI's S1 takes a video demonstration as its prompt. No language instruction, no fine-tuning. Show it a task it has never seen, and it gets 66% of the steps right. Describe that same task in words instead, and you get 9%. Prompting a robot with video isn't new. Generalist AI showed it earlier this month, but those runs last seconds. Skild claims S1 is the first to work on 10-minute tasks outside the training distribution. A new task used to mean a hundred hours of teleoperation and a training run. Skild set up a plant potting task at 8:54pm and had the robot running it autonomously 11…
12:01 PM ET
Figure
12:01 PM ETFigure
@fuzzyxbt on X
Figure 03 can now climb a ladder fully autonomously. No remote operator. No scripted sequence. The robot has to see the ladder, coordinate its hands and feet, continuously shift its weight, and maintain balance as it moves upward. That makes this much harder than simply walking or climbing stairs: every rung becomes a separate contact point the robot has to perceive and reach correctly. Figure is building humanoids around a simple idea: Instead of redesigning the world for robots, teach robots to navigate a world already designed for humans.
11:07 AM ET
NVIDIA
$NVDA
11:07 AM ETNVIDIA
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI | NVIDIA Newsroom
NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI August 25, 2026 News Summary: - NVIDIA Jetson Orin Nano 2, a new robotics computer for entry-level edge AI, enables millions of developers worldwide to build robots, delivery and inspection drones, and vision AI systems for frontier physical AI applications. - Jetson Orin Nano 2 delivers 2x the inference performance of its predecessor in the same form factor and consumes 40% less power at the same performance. - More than 3 million developers have built on the NVIDIA robotics stack, with Cognex, Doosan…
10:39 AM ET
@continuumlabs_
10:39 AM ET@continuumlabs_
@continuumlabs_ on X
A robot can learn to perform a task almost perfectly in simulation, then fail when it encounters the real world. That’s the sim-to-real gap. In simulation, everything is controlled: lighting is predictable, surfaces behave consistently, objects have known shapes, and sensors produce clean data. But reality is much messier, a policy that works in a perfectly modeled environment may not generalize when those assumptions break. So how do researchers close the gap? 1️⃣ More realistic simulations Build environments that better capture real-world physics, objects, sensors, and interactions. 2️⃣…
8:55 AM ET
@spaceandtech_
8:55 AM ET@spaceandtech_
@spaceandtech_ on X
The Unitree G1 humanoid robot can drive a go-kart, controlling the steering wheel and pedals around an indoor track. It can handle tight corners and even perform controlled drifts. Developed with Symbiosis Robotics Direct Perception Control system, the G1 uses vision, body state, and action history to coordinate its movements in real time.
8:12 AM ET
Boston Dynamics
8:12 AM ETBoston Dynamics
Why Boston Dynamics Gave Their Atlas Robot a Head
Skip to content No results embeds.beehiiv.com embeds.beehiiv.com is blocked This page has been blocked by an extension - Try disabling your extensions. ERR\BLOCKED\BY\CLIENT Reload This page has been blocked by an extension FacebookBlueskyThreadsEmail Why Does Atlas Have A Head? #askaroboticist #bostondynamics - YouTube Tap to unmute Why Does Atlas Have A Head? #askaroboticist #bostondynamics Boston Dynamics Boston Dynamics3.43M subscribers Watch on Taylor Frey-Baker, a mechanical engineer at Boston Dynamics, shared why their all-electric Atlas robot, unveiled in 2024, has a head, contrasting…
8:12 AM ET
Unitree Robotics
8:12 AM ETUnitree Robotics
China’s Robot Boom Tests Investor Discipline
Today’s Stocks Berkshire HathawayBRK.B $502.87-2.13(-0.42%) JPMorgan ChaseJPM $355.95-1.68(-0.47%) VisaV $380.67-0.94(-0.24%) Eli Lilly & CoLLY $1,155.73-18.88(-1.61%) MastercardMA $592.53-2.77(-0.47%) Exxon MobilXOM $159.68+2.97(1.90%) Costco Wholesale CorpCOST $943.65-1.82(-0.19%) Johnson & JohnsonJNJ $266.68-1.36(-0.51%) Procter & GamblePG $144.94+1.16(0.81%) Home DepotHD $327.13-3.06(-0.93%) Bank of AmericaBAC $62.06-0.26(-0.42%) AbbVie Inc.ABBV $255.59+0.11(0.04%) Palantir Technologies Inc.PLTR $185.84-0.46(-0.24%) Coca-ColaKO $89.07-0.59(-0.66%) Philip Morris InternationalPM…
3:43 AM ET
SUsundayrobotics
3:43 AM ETSUsundayrobotics
@maganjot79705 on X
the most interesting hardware in robotics isn't robots. @sundayrobotics built a skill capture glove so regular people can record chores. proception built a glove for dexterous hand data. UMI turned gripper data collection into a $300 tool. capture devices are the moat.
Hosted By Edmond Jono Hart James (Jingxi) Xu Mene Mazarakis Angela Zhang Manfredi Bernardi Adam 134 Went Akshobhya Gupta, Hannah Tsui and 132 others Contact the Host Report Event AI 🤖🍨 Sundae Robotics 06: V-JEPA 2 & Predicting Physical Intelligence Hosted by Edmond & 6 others Aug 30 Sunday, August 30 2:00 PM - 5:00 PM PDT Register to See Address Atherton, CA Past Event This event ended 2 days ago. Welcome! To join the event, please register below. Request to Join About Event 🤖🍨 Grab a sundae and join Sundae Robotics, a private, invite-only Sunday series bringing together robotics…
9:15 AM ET
https://x.com/RoboPapers
9:15 AM EThttps://x.com/RoboPapers
RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data.
Part of the secret is that LDA-1B jointly learns forward … / X
Post Log in Sign up Post RoboPapers on X: "Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also…
9:15 AM ET
@RoboPapers
9:15 AM ET@RoboPapers
@RoboPapers on X
Instead of choosing between training a world model and training a language conditioned robot policy, why not do both? LDA-1B s a new foundation model that is trained on 30,000 hours of human and robot interaction data. Part of the secret is that LDA-1B jointly learns forward dynamics, action prediction, and visual forecasting, all in a structured DINO latent space which avoids the pitfalls of redundant pixel-level prediction which isn’t necessarily aligned robot action. This approach works on both dexterous hands and simple robot grippers; it also generalizes across objects, tasks, and…
4:06 AM ET
ARAxis Robotics
4:06 AM ETARAxis Robotics
Improving Robot Manipulation Policies with Verifiable Short Correction Snippets
Back Introduction DAgger-style correction is the engine of post-training improvement: when a policy fails, a human takes over, steers the robot back on track, and the resulting trajectory goes back into training. Since launching Axis V2, we have collected over 500 hours of human-gated correction data this way. But collecting corrections is not the same as using them well. This report summarizes a round of browser-based community correction experiments built around a simple task: the robot needs to place a block of tofu onto a plate. The existing policy already completes a portion of attempts…
12:50 AM ET
@TheHumanoidHub
12:50 AM ET@TheHumanoidHub
@TheHumanoidHub on X
Generalist AI just released GEN-1.5. It might be robotics' GPT-3 moment. What is one-shot learning via in-context prompting? In the case of language models like GPT-3, including a Q&A example in the prompt before the actual question improved performance across a broad suite of language tasks. For example: Prompt: "Q: Who wrote Romeo and Juliet? A: William Shakespeare Q: Who wrote War and Peace?" [model outputs "Leo Tolstoy"] Similar capabilities are now emerging in GEN-1.5, where a short example (a few seconds of demonstration ) alongside language and sensory inputs can solve tasks the model…
12:17 PM ET
GEGeneralistAI
12:17 PM ETGEGeneralistAI
Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limite… / X
Post Log in Sign up Post Will Knight on X: "I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I saw their robots perform impressive manipulation with just a prompt, I think you can see it happening in a limited way. (Thanks to @peteflorence and co for having me!) https://t.co/VdsK6jE7rS" - Will Knight @willknight I'm usually wary about talk of "the ChatGPT moment for robots" because language is less complex than the physical world. After visiting @GeneralistAI, though, where I…
12:01 PM ET
NVIDIA
$NVDA
12:01 PM ETNVIDIA
Cosmos 3 Post-Training in Action With Aigen and Linker Vision | Cosmos Labs - Live Broadcast by NVIDIA Robotics / X
\\ \\ REPLAY NVIDIA Robotics @NVIDIARobotics Cosmos 3 Post-Training in Action With Aigen and Linker Vision \| Cosmos Labs Scan to get the app
11:48 AM ET
@DrJimFan
11:48 AM ET@DrJimFan
@DrJimFan on X
Seeing a hype wave around GEN-1.5, and rightfully so. Lots of respect to Pete & Andy for executing so well. The secret is in the naturally repetitive motions in human-collected data. There're 2 main sources for such repetitions: (1) Symmetric patterns. Sorting, tidying, and assembling almost never finish in one motion. Open any assembly manual from IKEA, and you find most objects symmetrical. You drive one bolt, then its twin, then the next pair. Every {bolt A, bolt B} pair is a natural continuation in context, and the second instance is a free training signal that imitates the first…
11:13 AM ET
DADandy
11:13 AM ETDADandy
Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology.
The team at Dandy is obsessed with the outcome.
Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices.
And under the h… / X
Post Log in Sign up Post Jason Shuman on X: "Too many Physical AI founders are obsessed with the technology. The team at Dandy is obsessed with the outcome. Over the last 18 months, Dandy has become a leading Physical AI business that is delivering the highest quality crowns at industry leading prices. And under the hood the technology breakthroughs are insane 1\. AI Crown Design - the team built their own model from scratch to drive down the cost of design and improve design accuracy that has led to industry leading remake rates 2\. Automated Nesting Technology - Maximizes their yield on CNC…
9:54 AM ET
FRFlexion Robotics
9:54 AM ETFRFlexion Robotics
@spaceandtech_ on X
Humanoid robots often struggle with tasks that involve many steps and require them to recover from mistakes. Flexion Robotics developed Reflect V1.0, a robotics intelligence platform designed to help robots complete complex tasks autonomously without a human operator. It combines AI for perception, planning, motion control, and reinforcement learning to help robots understand situations, take action, recover from errors, and improve over time.
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
7:00 AM ET
https://www.facebook.com/48576411181
7:00 AM EThttps://www.facebook.com/48576411181
Ability Neurotech Infrared BCI to Begin Human Trials - IEEE Spectrum
IEEE.org IEEE Xplore IEEE Standards IEEE Job Site More Sites Sign In Join IEEE The September issue of IEEE Spectrum is here! Download PDF ↓ Close bar Return to homepage Brain Implant Uses Infrared Light to Send Neural Signals Share FOR THE TECHNOLOGY INSIDER Search: Explore by topic Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics Semiconductors Telecommunications Transportation IEEE Spectrum FOR THE TECHNOLOGY INSIDER Topics Aerospace AI Biomedical Climate Tech Computing Consumer Electronics Energy History of Technology Robotics…
4:24 AM ET
BRBooster Robotics
4:24 AM ETBRBooster Robotics
Booster Robotics on X: "Excited to see our work featured in Science Robotics.
This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings.
From research to the field, we’re pushing humanoid soccer forwa… / X
Post Log in Sign up Post Booster Robotics on X: "Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field, we’re pushing humanoid soccer forward." - Booster Robotics @boosterobotics Excited to see our work featured in Science Robotics. This research explores a new vision-driven controller for humanoid soccer, tested on Booster Robotics’ humanoid robots in real-world competitive settings. From research to the field,…
4:14 AM ET
ARAXIS ROBOTICS
4:14 AM ETARAXIS ROBOTICS
FAQ | AXIS ROBOTICS
01Getting Started16 What do I need to use Axis Hub? A modern browser (Chrome, Firefox, Safari, or Edge) on a desktop or laptop. No GPU, no downloads, no special hardware. The physics engine — MuJoCo, compiled to WebAssembly — runs locally in your browser. How do I create an account? Sign up through Privy — you can use your email, Google account, X (Twitter), or connect an existing wallet. If you don't have a wallet, Privy creates one for you automatically. See Getting Started. What is the Axis Hub wallet? A custodial wallet created for you automatically by Privy when you sign up, so you don't…
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." / X
Post Log in Sign up Post Generalist on X: "Or when fine-tuned to place a block into a bowl, it can clear obstacles (like a piece of paper covering the bowl) to complete the task, despite that not being in the demonstrations." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world. 00:00 View media 313 1.7K 12K 3.4M - Generalist @GeneralistAI…
3:40 PM ET
GAGeneralist AI
3:40 PM ETGAGeneralist AI
Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." / X
Post Log in Sign up Post Generalist on X: "GEN-1.5, our latest embodied foundation model, can learn new tasks prompted with 3 - 12 seconds of a single demonstration, no gradient updates or fine-tuning. It generalizes prompts to new situations, recovers from mistakes, and improvises new strategies to reach the same goal." - Generalist @GeneralistAI Aug 19 Introducing GEN-1.5, a one-shot learner. It can learn new tasks in a few seconds. Show it what to do, and it generalizes. This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general…
12:00 PM ET
NVIDIA
$NVDA
12:00 PM ETNVIDIA
Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control | NVIDIA Technical Blog
Technical Blog Subscribe Related Resources Robotics Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control Aug 19, 2026 By Saeed Babamohamadi +12 Like Discuss (0) - L - T - F - R - E AI-Generated Summary - NVIDIA Jetson Thor can run the 4B Cosmos 3 Edge omni-model natively for on-device robot manipulation policies. - Post-training Cosmos 3 Edge on the Cosmos3-DROID dataset produces a policy that generates action chunks in about 1.53 seconds on Jetson AGX Thor T5000, enabling continuous real-time control. - In closed-loop RoboLab evaluation, the post-trained Edge policy reaches 22.9%…
8:00 PM ET
Skild AI
8:00 PM ETSkild AI
Introducing S1: In-Context Learning for Robotics | Skild AI
0:00 / 0:00 1× Introducing S1: In-Context Learning for Robotics Unseen tasks10-minute horizonsOne video promptNo post-training 13-minute read Contents Introduction Why In-Context Learning for Robotics? S1: An In-Context Learner What does S1 learn from context? The Data Engine S1 In Action Seen tasks Long-horizon unseen tasks ICL scaling laws Emergent Properties Robustness and common-sense behavior Quantifying ICL robustness to distribution shifts ICL demonstration efficiency Closing Remarks References Citation Introduction The evolution of language modeling provides a blueprint for turning…
10:36 AM ET
Figure
10:36 AM ETFigure
Theo Gage on X: "https://t.co/cIZx4OHoeU" / X
Post Log in Sign up Post - Theo Gage @realtheogg 3 Billion Humanoid Robots Could Exist. The Question Nobody Is Asking Is Where They’ll Live. Bank of America thinks the world will have 3 billion humanoid robots by 2060 Read that again. Not 3 million. Not 30 million. Three billion — more than the roughly 1.5 billion cars currently on Earth, on a per-capita basis. The obvious reaction: why would humanity ever need that many? Here's why the forecast isn't as crazy as it sounds. BofA's analysts don't frame this as science fiction. They frame it as a demographics problem — aging populations in…
8:00 PM ET
NVIDIA
$NVDA
8:00 PM ETNVIDIA
Hydra-0: Action Flow for Generalist World Modeling and Control | NVIDIA Isaac
Overview video Figure 1: Action flow as a shared control interface. Top: Hydra-0 learns from diverse interaction videos featuring egocentric human demonstrations, handheld UMI grippers, bimanual robot arms, and single-arm robots. Middle: Visible embodiment motion is represented as image-plane flow trajectories, placing heterogeneous interactions in a common, pixel-aligned action flow space independent of embodiment-specific joint or end-effector coordinates. This unified interface enables a single generalist world model to learn from multi-embodiment data and transfer across interaction…
8:00 PM ET
BMW Group
8:00 PM ETBMW Group
Press-Information June 25th 2026
Press-Information June 25th 2026 BMW Group advances the use of Physical AI in production with Figure 03 project in Spartanburg - Figure AI demonstrates Figure 03 humanoid robots in new use case at BMW Group Plant Spartanburg. - Robot development runs in parallel at BMW Group Plant Spartanburg and at Figure AI. - Assembly Hall in Spartanburg features BMW iFACTORY applications in artificial intelligence and virtualization. Munich/Spartanburg, USA. BMW Group intensifies the usage of digitalization and the use of artificial intelligence (AI) in production. With so-called Physical AI, which…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
4:01 PM ET
NVIDIA
$NVDA
4:01 PM ETNVIDIA
5 Physical AI infrastructure platforms shaping robotics in 2026 - The Robot Report
Facebook X LinkedIn Reddit Pinterest Share From accelerated computing and simulation to data operations, open-source tooling, validation engineering, and continuous learning, these five platforms represent distinct control points in the emerging physical AI stack. For most of the modern AI boom, infrastructure had a single center of gravity: compute. Models grew larger, training runs consumed more GPUs, and the industry organized itself around accelerators, cloud clusters, training frameworks, and developer software. That stack was sufficient when AI’s outputs were text, images, video, or…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
12:00 PM ET
Google DeepMind
$GOOGL
12:00 PM ETGoogle DeepMind
Gemini Robotics 2 brings whole body intelligence to robots — Google DeepMind
Skip to main content July 30, 2026 Models Gemini Robotics 2 brings whole body intelligence to robots Carolina Parada Share Your browser does not support the video tag. From feet to fingertips — we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for…
12:59 PM ET
TMTata Motors
12:59 PM ETTMTata Motors
TruthCapital on X: "The India EV Value Chain: A Crisp Investor's Map
India's EV story has moved from experiment to industrial buildout — the government is targeting 30% EV penetration by 2030, and global capital is watching where India fits into the post-China supply chain. Here's the essence: who… / X
Post Log in Sign up Post TruthCapital on X: "The India EV Value Chain: A Crisp Investor's Map India's EV story has moved from experiment to industrial buildout — the government is targeting 30% EV penetration by 2030, and global capital is watching where India fits into the post-China supply chain. Here's the essence: who makes the vehicles, what they're built from, who supplies each layer, where it's actually manufactured, and what's driving growth. 1\. The OEM Landscape Passenger vehicles (4W): EV sales surged 84% in FY2026 to 1.98 lakh units (4.3% of the PV market). Tata Motors leads but…
1:45 PM ET
BMW Group
1:45 PM ETBMW Group
BMW Group deploys Figure 03
The Robot Report Continue to Site Facebook X LinkedIn Reddit Pinterest Share Figure 03 adds tactile-sensor hands, palm cameras, wireless charging, and speech-to-speech audio over its predecessor. \| Source: BMW Group BMW Group is doubling down on its deployment of Figure.AI’s humanoid robots. The automaker last week announced that, following its successful deployment with Figure 02 at its plant in Spartanburg, S.C., it will deploy the company’s latest Figure 03 robot. “Plant Spartanburg is the birthplace of humanoid robotics in BMW Manufacturing’s operational day-to-day activities,” said…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
8:00 PM ET
Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
8:00 PM ETJoseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Coupled Local and Global World Models for Efficient First Order RL
Real-world tasks solved zero-shot by policies trained entirely inside our learned world models: Push-T with a tabletop manipulator (left), Ego-Centric Grasp and Lift with a G1 humanoid (centre), and Ego-Centric Push Cube with a Go2 quadruped (right). Abstract World models offer a promising avenue for capturing complex environment dynamics where simulators face challenges. However, large-scale world models required for complex real-world settings are computationally expensive to adopt in popular RL approaches. We introduce a novel first-order RL method that enables policy training via a…
7:36 PM ET
OROrigami Robotics
7:36 PM ETOROrigami Robotics
Quanting Xie on X: "The full video of hand and glove co-design in action.
For hand 🖐️ we try to make sure it's able to repeat what a human hand can do; hyperextension in the index finger is a great example here. Most robotic hands lack that, and it is very important for grasping objects securely… / X
Post Log in Sign up Post Quanting Xie on X: "The full video of hand and glove co-design in action. For hand 🖐️ we try to make sure it's able to repeat what a human hand can do; hyperextension in the index finger is a great example here. Most robotic hands lack that, and it is very important for grasping objects securely. Let’s try to close the embodiment gap. For glove 🧤 we try to make sure it’s comfortable to wear, while also has same kinematics, contacts with the robot hand." - Quanting Xie @DanielXieee The full video of hand and glove co-design in action. For hand 🖐️ we try to make sure…
Conference & Program | embeddedworld North America 2026
Skip to main content Skip to footer Conference & Program The premier demonstration and information sharing platform for the embedded community. Innovation, networking and knowledge are all on display. Make the most of the program with the Mobile App - explore sessions and plan your visit. Search for Sessions here! Day 1-3 Tech Sessions Schedule Day 1Tue · Sep 22Day 2Wed · Sep 23Day 3Thu · Sep 24 Exhibition Open 11:00 AM – 6:00 PM Keynote9:30 – 10:30 AM The Next Evolution of Embedded: Open Platform for Autonomous, Agentic Systems Deepu Talla— VP Robotics & Edge AI, NVIDIA Day 1:1 Technical…
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Unitree Robotics
—Unitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Unitree Robotics
Brushless Digital Servo Compact and Designed for Embodied Intelligence Applications - Brushless Motor Long Life, Low Inertia, High Speed, Force Control - Temperature and Position Sensors - Precision Gearbox (Backdrivable) - Highly Integrated - High Power, High Speed - High-Speed Communication - Model Max (Stall) Torque Torque Opposite to Speed Direction Baud Rate Max (No-Load) Speed No-Load Current - J288 1.5Nm J288 6,000,000bps J288 35rad/s (334rpm)@25.2V / 16.5rad/s (157rpm)@12V J288 0.45A@25.2V 0.27A@12V - S288 0.6Nm S288 6,000,000bps S288 16.5rad/s (157rpm)@12V S288 0.27A@12V Control…
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DRDiligent Robotics
—DRDiligent Robotics
RoboBrief: Daily Robotics News, Humanoid Robots & AI Automation
Daily robotics intelligence The global robotics briefing desk Your daily robotics intelligence briefing — US, China, India & beyond. Breaking news, analysis, and insights on the global robotics revolution. - 🇺🇸United States - 🇨🇳China - 🇮🇳India - 🇯🇵Japan - 🇩🇪Germany Subscribe Free Read the briefings→ Browse topics Briefings323Briefings CadenceDailyCadence CoverageGlobalCoverage Lead briefing All briefings → Two Humanoid Robots Just Played a Full 11-Point Table Tennis Match \\ \\ HKU and KAI's SMASH 2.0 demonstration matters because table tennis forces robots to combine perception,…
September 1, 2026Introducing Atlas, our new omni world model for spatial intelligence. Atlas: A World Model for Spatial Intelligence World models generate, reconstruct, and simulate any possible world. They understand how worlds appear, behave, and evolve so that we can render imagined worlds for creative users, simulate the real world in high fidelity, and help robots plan actions. At World Labs, we build these general purpose world models in pursuit of spatial intelligence. Today we are introducing Atlas, our next-generation world model. Atlas is an omni model that we pretrained from…