MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
This provides a practical tool for education and research in robotics, though it is incremental as it builds on existing open-source and low-cost concepts.
The authors tackled the need for accessible robotics platforms by developing MuSHR, a low-cost, open-source robotic racecar, resulting in a system that can be built and deployed using detailed documentation and tutorials.
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.