robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Abhishek Joshi, Kevin Lin, Abhiram Maddukuri, Soroush Nasiriany, Yifeng Zhu
arXiv:2009.12293v3654 citations
AI Analysis
This framework addresses the need for standardized and modular simulation tools for researchers in robot learning, though it is incremental as an update to an existing release.
The authors introduced robosuite v1.5, a modular simulation framework for robot learning built on MuJoCo, which provides a suite of benchmark environments to enable reproducible research in robotics.
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.