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arXiv · 1908.08031

MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research

Siddhartha S. Srinivasa·Patrick Lancaster·Johan Michalove·Matt Schmittle·Colin Summers·Matthew Rockett·Rosario Scalise·Joshua R. Smith·Sanjiban Choudhury·Christoforos Mavrogiannis·Fereshteh Sadeghi
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Abstract

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.

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Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Rosario Scalise, Joshua R. Smith, Sanjiban Choudhury, Christoforos Mavrogiannis, Fereshteh Sadeghi. 2019-08-21. MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research. https://arxiv.org/abs/1908.08031

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