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mujoco-playground

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Reinforcement learning policies trained in NVIDIA Isaac Lab & MuJoCo Warp for robots: asimov-1 (humanoid, PPO+AMP omni-gait), v1x1 (quadruped, PPO omni-gait), BDX-R (biped, omni-gait) and Microduck (biped, omni-gait & fall recovery) with live ROS2 teleop bridges for real-time keyboard control and other sim-to-real pipelines..

  • Updated Nov 3, 2026
  • Python

A small humanoid robot you can talk to: walks with a reinforcement-learned policy, waves and dances, shows a face with lip sync and speaks - its brain is a local LLM you run yourself (Ollama or any OpenAI-compatible API). MuJoCo simulation, sim-to-real.

  • Updated Nov 1, 2026
  • Python

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