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

Understand

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.