roboterax/humanoid-gym
A reinforcement learning framework for training humanoid robot locomotion skills with zero-shot sim-to-real transfer.
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Humanoid-Gym is an RL training framework built on Nvidia Isaac Gym for developing locomotion skills in humanoid robots, emphasizing zero-shot transfer from simulation to real-world deployment. It provides a sim-to-sim pipeline between Isaac Gym and Mujoco for policy verification, and has been validated on RobotEra’s XBot-S and XBot-L humanoid robots in real-world environments.
Frequently asked
- What is roboterax/humanoid-gym?
- A reinforcement learning framework for training humanoid robot locomotion skills with zero-shot sim-to-real transfer.
- Is humanoid-gym open source?
- Yes — roboterax/humanoid-gym is an open-source project tracked on heatdrop.
- What language is humanoid-gym written in?
- roboterax/humanoid-gym is primarily written in Python.
- How popular is humanoid-gym?
- roboterax/humanoid-gym has 2k stars on GitHub.
- Where can I find humanoid-gym?
- roboterax/humanoid-gym is on GitHub at https://github.com/roboterax/humanoid-gym.