qgallouedec/panda-gym
Set of robotic environments based on PyBullet physics engine and gymnasium.
This project provides simulated environments for training robotic arms. It takes actions (like moving a robotic arm) as input and outputs the simulated visual state of the environment, rewards for actions, and whether a task is complete. Robotics researchers and machine learning engineers use this to develop and test reinforcement learning algorithms for robot control.
737 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need pre-built, standardized simulation environments to train reinforcement learning agents for robotic manipulation tasks, especially involving a Franka Panda robot.
Not ideal if you need to control physical robots or if your research focuses on non-robotic machine learning applications.
Stars
737
Forks
132
Language
Python
License
MIT
Category
Last pushed
Jul 23, 2024
Commits (30d)
0
Dependencies
4
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