  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.
