gym-gazebo
An OpenAI Gym extension for robotics simulation using ROS and Gazebo to benchmark and develop robot behaviors.
What is gym-gazebo?
gym-gazebo is an open-source extension of the OpenAI Gym framework specifically designed for robotics applications. It integrates the Gazebo simulator and ROS middleware to create standardized environments for training and evaluating reinforcement learning algorithms with simulated robots. The toolkit addresses the need for reproducible benchmarks in robotic learning, enabling researchers to develop behaviors like navigation and manipulation in a simulated setting.
Roboticists and researchers working on reinforcement learning for robotics, who require a simulation environment that combines Gazebo's physics with OpenAI Gym's interface. It is suited for those familiar with ROS and seeking to benchmark or develop autonomous robot behaviors.
Developers choose gym-gazebo because it provides a ready-to-use bridge between popular robotics tools (Gazebo/ROS) and reinforcement learning frameworks, offering pre-built environments and community contributions. Its unique selling point is the integration of realistic simulation with a standardized RL interface, facilitating research and experimentation without extensive setup.
Overview
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
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