Roboschool
Open-source robot simulation software integrated with OpenAI Gym for reinforcement learning research.
What is Roboschool?
Roboschool is an open-source robot simulation platform integrated with OpenAI Gym, providing environments for training reinforcement learning agents on robotic control tasks. It uses the Bullet physics engine to simulate realistic robot dynamics and offers a variety of pre-built scenarios like humanoid locomotion and manipulation. The project was developed to facilitate research in robotics and machine learning by offering accessible simulation tools.
Researchers and developers working on reinforcement learning for robotics, particularly those using OpenAI Gym who need simulated environments to train and test control policies.
It provided a free, open-source alternative to proprietary simulation software like MuJoCo, with direct integration into the popular OpenAI Gym ecosystem. The inclusion of pre-trained agents and a focus on realistic physics made it a practical tool for prototyping and benchmarking RL algorithms.
Overview
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
Use Cases
Best For
- Training reinforcement learning agents on robotic locomotion tasks
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