roboterax/humanoid-gym
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
This project helps robotics engineers and researchers train bipedal humanoid robots to walk and move in the real world. You input your robot's design and receive optimized control policies that enable complex locomotion. It's designed for professionals working on advanced robot development and deployment.
1,894 stars. No commits in the last 6 months.
Use this if you need to quickly train humanoid robots for real-world tasks using advanced simulation and ensure their behavior transfers directly without extensive real-world tuning.
Not ideal if you are working with non-humanoid robots or require a different simulation environment than Nvidia Isaac Gym and Mujoco.
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Python
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Last pushed
Jan 26, 2025
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