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🚀 Introducing SoftMimic: Compliant humanoids for an interactive future — bringing humanoids into the real world 🤝 🔗 Current humanoids collapse when they touch the world — they can’t handle contact or deviation from their reference motion 😭 😎SoftMimic learns to deviate gracefully from motion references. It natively embraces...

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Pulkit Agrawal

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40,130 görüntüleme • 7 ay önce •via X (Twitter)

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Excited to share SoftMimic -- a new approach for learning compliant humanoid policies that interact gently with the world.
1:29

Excited to share SoftMimic -- a new approach for learning compliant humanoid policies that interact gently with the world.

Gabe Margolis

64,443 görüntüleme • 7 ay önce

🕸️ Introducing SPIDER — Scalable Physics-Informed Dexterous Retargeting! A dynamically feasible, cross-embodiment retargeting framework for BOTH humanoids 🤖 and dexterous hands ✋. From human motion → sim → real robots, at scale. 🔗 Website: 🧵 1/n
1:25

🕸️ Introducing SPIDER — Scalable Physics-Informed Dexterous Retargeting! A dynamically feasible, cross-embodiment retargeting framework for BOTH humanoids 🤖 and dexterous hands ✋. From human motion → sim → real robots, at scale. 🔗 Website: 🧵 1/n

Chaoyi Pan

64,983 görüntüleme • 7 ay önce

Holy…S😳 This isn’t fabric. It’s electronic skin,woven with dense fiber and textile sensors that can detect pressure, touch, deformation, and subtle contact changes in real time. Now imagine humanoid robots covered in it,especially on dexterous hands. humanoids could truly touch and understand the physical world and even humans. (from Shanghai JQ INDUSTRIES )
1:46

Holy…S😳 This isn’t fabric. It’s electronic skin,woven with dense fiber and textile sensors that can detect pressure, touch, deformation, and subtle contact changes in real time. Now imagine humanoid robots covered in it,especially on dexterous hands. humanoids could truly touch and understand the physical world and even humans. (from Shanghai JQ INDUSTRIES )

CyberRobo

173,286 görüntüleme • 3 ay önce

HuB is a unified framework that enables humanoids to execute complex balancing tasks. It integrates reference motion refinement, balance-aware policy learning, and sim-to-real robustness training. Project page:
0:51

HuB is a unified framework that enables humanoids to execute complex balancing tasks. It integrates reference motion refinement, balance-aware policy learning, and sim-to-real robustness training. Project page:

The Humanoid Hub

53,251 görüntüleme • 1 yıl önce

Today’s robots aren’t humanoids from sci-fi movies. They carry supplies, evacuate the wounded and fight. 2026: more than 28,000 robotic missions completed on the battlefield.
0:38

Today’s robots aren’t humanoids from sci-fi movies. They carry supplies, evacuate the wounded and fight. 2026: more than 28,000 robotic missions completed on the battlefield.

Defense of Ukraine

74,002 görüntüleme • 27 gün önce

How do you give a humanoid the general motion capability? Not just single motions, but all motion? Introducing SONIC, our new work on supersizing motion tracking for natural humanoid control. We argue that motion tracking is the scalable foundation task for humanoids. So we "supersized" it: 9k+ GPU hours and 100M+ motion frames. But tracking alone is not enough; we show how to make a useful control system out of it: - Universal Kinematic Planner: Enables game-like gamepad control and high-level teleoperation, just like controlling a character in a game. - VR Full-Body Teleop: Direct, real-time whole-body control by a human wearing a VR headset. - VR Keypoint Teleop: Control the upper body (hands/head) while our planner handles robust locomotion automatically. - VLA Integration: We connect this motion tracker to autonomous Visual-Language-Action (VLA) models for autonomous task execution! We use a Universal Token Space to UNIFY this command space, turning our robust tracker into a general-purpose, programmable humanoid brain. This is the generalist "System 1" for humanoids. 🚀 Project: #Humanoids #Robotics #AI #FoundationModels #NVIDIAResearch 🧠🔥
1:32

How do you give a humanoid the general motion capability? Not just single motions, but all motion? Introducing SONIC, our new work on supersizing motion tracking for natural humanoid control. We argue that motion tracking is the scalable foundation task for humanoids. So we "supersized" it: 9k+ GPU hours and 100M+ motion frames. But tracking alone is not enough; we show how to make a useful control system out of it: - Universal Kinematic Planner: Enables game-like gamepad control and high-level teleoperation, just like controlling a character in a game. - VR Full-Body Teleop: Direct, real-time whole-body control by a human wearing a VR headset. - VR Keypoint Teleop: Control the upper body (hands/head) while our planner handles robust locomotion automatically. - VLA Integration: We connect this motion tracker to autonomous Visual-Language-Action (VLA) models for autonomous task execution! We use a Universal Token Space to UNIFY this command space, turning our robust tracker into a general-purpose, programmable humanoid brain. This is the generalist "System 1" for humanoids. 🚀 Project: #Humanoids #Robotics #AI #FoundationModels #NVIDIAResearch 🧠🔥

Zhengyi “Zen” Luo

61,821 görüntüleme • 7 ay önce

Unfortunately Frank, Rose, Bob and Gary the humanoids all just lost their jobs to a pair of faster, lower cost, more reliable robot arms. Superhuman robots will beat humanoids for every industrial application with scale.
0:55

Unfortunately Frank, Rose, Bob and Gary the humanoids all just lost their jobs to a pair of faster, lower cost, more reliable robot arms. Superhuman robots will beat humanoids for every industrial application with scale.

Simon Kalouche

67,731 görüntüleme • 25 gün önce

Command humanoids *directly* with natural language? Introducing LangWBC, a generative, end-to-end policy that turns natural language into real-world whole-body humanoid control! 💬→🦿Smooth, robust, surprisingly intuitive! See more 👉 #RSS2025
0:45

Command humanoids *directly* with natural language? Introducing LangWBC, a generative, end-to-end policy that turns natural language into real-world whole-body humanoid control! 💬→🦿Smooth, robust, surprisingly intuitive! See more 👉 #RSS2025

Zhongyu Li

14,109 görüntüleme • 1 yıl önce

What does OpenMind do? Founder of OpenMind, Jan Liphardt, talks about our OM1 operating system for robots, our partners, and how robots interact in the real world. Elon Musk predicts 1 billion humanoids by 2040, so we'll need stablecoins to transition to a new machine economy.
2:26

What does OpenMind do? Founder of OpenMind, Jan Liphardt, talks about our OM1 operating system for robots, our partners, and how robots interact in the real world. Elon Musk predicts 1 billion humanoids by 2040, so we'll need stablecoins to transition to a new machine economy.

OpenMind

25,495 görüntüleme • 8 ay önce

Humanoids to help with household work by 2035! #robotics and #quantumcomputing can transform the future in unimaginable ways. But will they rebel, like in the movies? #robot #humanoid
0:47

Humanoids to help with household work by 2035! #robotics and #quantumcomputing can transform the future in unimaginable ways. But will they rebel, like in the movies? #robot #humanoid

QuantumCoin

1,215,682 görüntüleme • 11 ay önce

🚨 NEURA unveils “NEURA Gym” — a physical AI training ground for robots. Hundreds of humanoids and robotic systems will learn real-world skills side by side, collecting data that feeds into the Neuraverse — a global infrastructure for embodied AI.
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🚨 NEURA unveils “NEURA Gym” — a physical AI training ground for robots. Hundreds of humanoids and robotic systems will learn real-world skills side by side, collecting data that feeds into the Neuraverse — a global infrastructure for embodied AI.

Humanoids daily

25,469 görüntüleme • 8 ay önce

Ever wonder how we got our humanoids to walk naturally using a motion tracker? Here is the secret: We have a world-class, game-engine-ready, real-time motion generator running under the hood! Graphics 🤝 Robotics Check out the full thread here 👇
0:27

Ever wonder how we got our humanoids to walk naturally using a motion tracker? Here is the secret: We have a world-class, game-engine-ready, real-time motion generator running under the hood! Graphics 🤝 Robotics Check out the full thread here 👇

Zhengyi “Zen” Luo

15,023 görüntüleme • 1 ay önce

Lightberry () lets humanoids be useful out of the box. They integrate with major manufacturers like Unitree and Booster to make their robots speak, read the room, and navigate the world - just like in Star Wars. Congrats on the launch, Stephan Koenigstorfer & !
1:11

Lightberry () lets humanoids be useful out of the box. They integrate with major manufacturers like Unitree and Booster to make their robots speak, read the room, and navigate the world - just like in Star Wars. Congrats on the launch, Stephan Koenigstorfer & !

Y Combinator

56,163 görüntüleme • 7 ay önce

Amazon is training humanoids to move boxes. Makes sense! OmniRetarget is a data generation engine that enables complex loco-manipulation for humanoids. It uses offline retargeting from human MoCap datasets and augments data from single demos to produce 8 hours of trajectories that train RL policies in simulation, transferred zero-shot to real robots. Amazon FAR is the primary affiliation for the paper:
1:37

Amazon is training humanoids to move boxes. Makes sense! OmniRetarget is a data generation engine that enables complex loco-manipulation for humanoids. It uses offline retargeting from human MoCap datasets and augments data from single demos to produce 8 hours of trajectories that train RL policies in simulation, transferred zero-shot to real robots. Amazon FAR is the primary affiliation for the paper:

The Humanoid Hub

106,447 görüntüleme • 8 ay önce

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

59,645 görüntüleme • 5 ay önce

Powered by NVIDIA Jetson Thor, the OpenMind BrainPack brings next-gen autonomy to humanoids and quadrupeds. Thor gives OM1 the compute to run cutting-edge AI models, navigate real-world urban environments, and uphold spectator privacy. As robots gain new capabilities, Thor ensures they run smoothly, safely, and intelligently.
0:39

Powered by NVIDIA Jetson Thor, the OpenMind BrainPack brings next-gen autonomy to humanoids and quadrupeds. Thor gives OM1 the compute to run cutting-edge AI models, navigate real-world urban environments, and uphold spectator privacy. As robots gain new capabilities, Thor ensures they run smoothly, safely, and intelligently.

OpenMind

110,638 görüntüleme • 6 ay önce

Presenting Unsupervised Actuator Nets (UANs) that push the limits of agile whole-body control without the need for reward shaping! ⚡️ UANs reduce the sim2real gap in robot's motors removing the need for reward design to bridge the sim2real gap. ⚡️ A pre-trained whole-body controller uses reference motion as a hint to maximize task performance! Learn more: Work led by Nolan Fey , Gabe Margolis in collaboration with Martin.
0:27

Presenting Unsupervised Actuator Nets (UANs) that push the limits of agile whole-body control without the need for reward shaping! ⚡️ UANs reduce the sim2real gap in robot's motors removing the need for reward design to bridge the sim2real gap. ⚡️ A pre-trained whole-body controller uses reference motion as a hint to maximize task performance! Learn more: Work led by Nolan Fey , Gabe Margolis in collaboration with Martin.

Pulkit Agrawal

10,875 görüntüleme • 1 yıl önce

This startup from Bihar builds end to end humanoids so that even idiots lile me can make their own robots
2:06

This startup from Bihar builds end to end humanoids so that even idiots lile me can make their own robots

Ankit Jxa

54,535 görüntüleme • 3 ay önce

First multi-humanoid collaboration in the world! Watch dozens of smart (AI) humanoids work in an automobile factory in China: UBTech is the company behind these robots.
1:38

First multi-humanoid collaboration in the world! Watch dozens of smart (AI) humanoids work in an automobile factory in China: UBTech is the company behind these robots.

S.L. Kanthan

24,354 görüntüleme • 1 yıl önce