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HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds
An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Official implementation of Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr0…
[ICRA 2026] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.
Data preparation and loader for AMASS
A curated list of behavior(al) foundation model (BFM) papers, articles, tutorials, slides and projects
[NeurIPS 2023] Official implementation of the paper "Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset"
Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
A fast and simple implementation of learning algorithms for robotics.
Unified framework for robot learning built on NVIDIA Isaac Sim
Minimal reproduction of DeepSeek R1-Zero
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…