We present MuSHR, the Multi-agent System for non-Holonomic Racing. MuSHR is a low-cost, open-source robotic racecar platform for education and research, developed by the Personal Robotics Lab in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. MuSHR aspires to contribute towards democratizing the field of robotics as a low-cost platform that can be built and deployed by following detailed, open documentation and do-it-yourself tutorials. A set of demos and lab assignments developed for the Mobile Robots course at the University of Washington provide guided, hands-on experience with the platform, and milestones for further development. MuSHR is a valuable asset for academic research labs, robotics instructors, and robotics enthusiasts.
@article{arxiv.1908.08031,
title = {MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research},
author = {Siddhartha S. Srinivasa and Patrick Lancaster and Johan Michalove and Matt Schmittle and Colin Summers and Matthew Rockett and Rosario Scalise and Joshua R. Smith and Sanjiban Choudhury and Christoforos Mavrogiannis and Fereshteh Sadeghi},
journal= {arXiv preprint arXiv:1908.08031},
year = {2023}
}