Stars
Suite of motion imitation algorithms for training motion controllers.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
(T-RO, ICRA 2024) Tutorials on ergodic control and more
GPU-friendly, auto-differentiable LQR solver with JAX.
Mastering Diverse Domains through World Models
[ICCV 2025] SpatialTrackerV2: 3D Point Tracking Made Easy
Mac Mini as an onboard computer for robots.
Visual Imitation Enables Contextual Humanoid Control. arXiV, 2025.
PACE: A systematic approach for sim-to-real transfer of legged robots, identifying actuator and joint dynamics with standard joint encoders.
RL training visualizer for Mujoco Playground environments + Brax training
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
[CoRL 2025] ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Orbax provides common checkpointing and persistence utilities for JAX users
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
1 million FPS multi-agent driving simulator
Official implementation of "FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation"