utra-robosoccer/Bez_IsaacGym

Isaac Gym Reinforcement Learning Environments for humanoid robot Bez

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Experimental

This project offers a specialized simulation environment within Isaac Gym for the humanoid robot Bez, helping robotics researchers and developers create and refine control policies. You input training configurations and robot behavior goals, and it outputs trained neural network models that can control Bez to perform tasks like kicking. This is designed for robotics engineers and researchers working on advanced robot control and reinforcement learning.

No commits in the last 6 months.

Use this if you are a robotics researcher or developer focused on training reinforcement learning agents for complex humanoid robot behaviors, specifically with the Bez robot and NVIDIA Isaac Gym.

Not ideal if you are looking for a general-purpose robotics simulator for hardware other than Bez, or if you are not familiar with reinforcement learning concepts and Isaac Gym.

robot-control reinforcement-learning humanoid-robotics robot-simulation AI-robotics-training
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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10

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Language

Python

License

BSD-3-Clause

Last pushed

Jul 27, 2022

Commits (30d)

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