robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto, Mart\'in-Mart\'in, Abhishek Joshi, Kevin Lin, Abhiram Maddukuri and, Soroush Nasiriany, Yifeng Zhu
TL;DR
robosuite is a modular simulation framework built on MuJoCo, providing customizable robotic tasks and benchmark environments to facilitate reproducible research in robot learning.
Contribution
It introduces a flexible, modular simulation platform with standardized benchmarks for advancing reproducible robot learning research.
Findings
Provides a suite of benchmark environments for reproducibility
Features a modular design for customizable tasks
Supports research in robot learning with a standardized platform
Abstract
robosuite is a simulation framework for robot learning powered by the MuJoCo physics engine. It offers a modular design for creating robotic tasks as well as a suite of benchmark environments for reproducible research. This paper discusses the key system modules and the benchmark environments of our new release robosuite v1.5.
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Taxonomy
TopicsReinforcement Learning in Robotics · Modular Robots and Swarm Intelligence · Robot Manipulation and Learning