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🚀 Looking forward to a foundtional humanoid motion tracker? 📢Meet Any2Track — Track Any Motions under Any Disturbances! 💡Any2Track shows SOTA performance on diverse motions under multiple disturbances. Project: Codebase:

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Zhikai Zhang

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44,347 görüntüleme • 9 ay önce •via X (Twitter)

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Any2Track tracks diverse motions under various disturbances. The two-stage RL framework learns to track contact-rich human motions from motion capture datasets and adds adaptability to disturbances via dynamics-aware model prediction.
1:19

Any2Track tracks diverse motions under various disturbances. The two-stage RL framework learns to track contact-rich human motions from motion capture datasets and adds adaptability to disturbances via dynamics-aware model prediction.

The Humanoid Hub

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Meet Any2Track, a new two-stage RL framework designed to address a core challenge for humanoid robots: reliably tracking diverse, dynamic motions in the real world. The framework consists of two key components: AnyTracker, a general motion tracker, and AnyAdapter, a module that allows the robot to adapt to real-world disturbances like uneven terrain or external forces. This approach gives robots the stability needed for practical use. The system has been successfully deployed on a Unitree G1 humanoid robot with zero-shot sim2real transfer, performing exceptionally well in various motion tracking tasks under multiple real-world disturbances. Project: Codebase:
1:44

Meet Any2Track, a new two-stage RL framework designed to address a core challenge for humanoid robots: reliably tracking diverse, dynamic motions in the real world. The framework consists of two key components: AnyTracker, a general motion tracker, and AnyAdapter, a module that allows the robot to adapt to real-world disturbances like uneven terrain or external forces. This approach gives robots the stability needed for practical use. The system has been successfully deployed on a Unitree G1 humanoid robot with zero-shot sim2real transfer, performing exceptionally well in various motion tracking tasks under multiple real-world disturbances. Project: Codebase:

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Any2Track: Galbot’s whole-body motion tracking system.
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Any2Track: Galbot’s whole-body motion tracking system.

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RobotMDM, by Disney Research, combines diffusion-based motion generation with RL to produce physics-aware humanoid motions from text prompts. Trained on human motion data with a reward surrogate for physical feasibility, it ensures realistic motions.
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RobotMDM, by Disney Research, combines diffusion-based motion generation with RL to produce physics-aware humanoid motions from text prompts. Trained on human motion data with a reward surrogate for physical feasibility, it ensures realistic motions.

The Humanoid Hub

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When you combined multiple motions to make a mega project… Motions belongs to dea(でぃあ) ,Granbein and Y’s🔞 , with other motions from Aplaybox. PS: Majority is from Y’s🔞
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When you combined multiple motions to make a mega project… Motions belongs to dea(でぃあ) ,Granbein and Y’s🔞 , with other motions from Aplaybox. PS: Majority is from Y’s🔞

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A new paper by Disney Research introduces a 2-stage technique for motion tracking in physics-based character animation, using a pretrained latent space and RL to control diverse and unseen motions on both virtual and real-world humanoid robots. Paper:
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A new paper by Disney Research introduces a 2-stage technique for motion tracking in physics-based character animation, using a pretrained latent space and RL to control diverse and unseen motions on both virtual and real-world humanoid robots. Paper:

The Humanoid Hub

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TextOp: A real-time text-to-motion framework for humanoid robots. It allows users to instruct the robot using natural language and to modify commands on the fly, producing smooth, whole-body motions instantly.
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TextOp: A real-time text-to-motion framework for humanoid robots. It allows users to instruct the robot using natural language and to modify commands on the fly, producing smooth, whole-body motions instantly.

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📢 Excited to share our latest work Conference on Robot Learning: Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility! #CoRL2025 🐶Now ANYmal learns to walk (hop) from real dog motions! 📄Paper: 🌐Project Website:
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📢 Excited to share our latest work Conference on Robot Learning: Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility! #CoRL2025 🐶Now ANYmal learns to walk (hop) from real dog motions! 📄Paper: 🌐Project Website:

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✨Battle Motion Updates✨ Introducing the characters whose battle motions have been updated! Be sure to check out their new motions! 👀 #dokkanbattle #dragonball
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✨Battle Motion Updates✨ Introducing the characters whose battle motions have been updated! Be sure to check out their new motions! 👀 #dokkanbattle #dragonball

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Researchers from RAI Institute present Diffuse-CLoC, a new control policy that fuses kinematic motion diffusion models with physics-based control to produce motions that are both physically realistic and precisely controllable. This breakthrough moves us closer to developing generalist policies that enable humanoid robots to perform diverse tasks, including dynamic locomotion and contact-rich manipulation, in a natural-looking and robust way. Learn more at
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Researchers from RAI Institute present Diffuse-CLoC, a new control policy that fuses kinematic motion diffusion models with physics-based control to produce motions that are both physically realistic and precisely controllable. This breakthrough moves us closer to developing generalist policies that enable humanoid robots to perform diverse tasks, including dynamic locomotion and contact-rich manipulation, in a natural-looking and robust way. Learn more at

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One of the things that makes Playbooks so great this year in College Football 26... BRAND NEW MOTION PLAYS In this video we showcase: - Reload Motions - DBL Motions - Bounce Motions These plays will open up your Playbooks a TON
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One of the things that makes Playbooks so great this year in College Football 26... BRAND NEW MOTION PLAYS In this video we showcase: - Reload Motions - DBL Motions - Bounce Motions These plays will open up your Playbooks a TON

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TWIST: a real-time teleoperation system for humanoid robots to mimic whole-body motions. Reference motion data is generated by retargeting human motion-capture data to the robot. Then, the controller is trained in simulation using reinforcement learning and behavior cloning.
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TWIST: a real-time teleoperation system for humanoid robots to mimic whole-body motions. Reference motion data is generated by retargeting human motion-capture data to the robot. Then, the controller is trained in simulation using reinforcement learning and behavior cloning.

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Our Mini π is tough—can maintain balance and structural stability even under external impacts and disturbances.🦾 #RL #EmbodiedIntelligence #bipedal
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Our Mini π is tough—can maintain balance and structural stability even under external impacts and disturbances.🦾 #RL #EmbodiedIntelligence #bipedal

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Let's start our funny talk show! Drop ANY model image and get the talking video with Best performance in context and motions in multi-languages. Speak up now!
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Let's start our funny talk show! Drop ANY model image and get the talking video with Best performance in context and motions in multi-languages. Speak up now!

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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 🧠🔥

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Take a glimpse at Storm Boy as he works through the motions under new trainer Aidan O’Brien at Ballydoyle! ⚡️ #Coolmore #HomeOfChampions
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Take a glimpse at Storm Boy as he works through the motions under new trainer Aidan O’Brien at Ballydoyle! ⚡️ #Coolmore #HomeOfChampions

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Let’s think about humanoid robots outside carrying the box. How about having the humanoid come out the door, interact with humans, and even dance? Introducing Expressive Whole-Body Control for Humanoid Robots: See how our robot performs rich, diverse, and expressive motions in the real world 👇🧵
2:37

Let’s think about humanoid robots outside carrying the box. How about having the humanoid come out the door, interact with humans, and even dance? Introducing Expressive Whole-Body Control for Humanoid Robots: See how our robot performs rich, diverse, and expressive motions in the real world 👇🧵

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