MoveRL is a Robotic Reinforcement Learning Environment which is compatible with OpenAI Gym and Stable-Baseline3. On top of that, we integrate benchmark robotic software Moveit! to achieve a realistic, safe and efficient RL simulation environment which is easy to be generalized to real-world robots.
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MoveRL won BNAIC 2021 Best Paper Award.
This work currently in beta state, a user manual will be added soon, please contact me if you need help to use it in your own projects:
@InProceedings{10.1007/978-3-030-93842-0_14,
author="Liu, Gaoyuan
and De Winter, Joris
and Vanderborght, Bram
and Now{\'e}, Ann
and Steckelmacher, Denis",
editor="Leiva, Luis A.
and Pruski, C{\'e}dric
and Markovich, R{\'e}ka
and Najjar, Amro
and Schommer, Christoph",
title="MoveRL: To a Safer Robotic Reinforcement Learning Environment",
booktitle="Artificial Intelligence and Machine Learning",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="239--253"
}