An example using an LLM to navigate a quadruped in an unknown environment through trial and error. Based on mujoco playground.
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Updated
Apr 16, 2025 - Python
An example using an LLM to navigate a quadruped in an unknown environment through trial and error. Based on mujoco playground.
Self-paced learning and playground for robotics control software architecture and design patterns
Repository created using https://github.com/google-deepmind/mujoco_playground as base in order to add the Go2 walking and handstand policies. It contains the code to train and simulate the policy.
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