arXiv 1908.080312019-08cs.RO

MuSHR：用于教育与研究的低成本开源机器人赛车

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

Paul G. Allen School of Computer Science \& Engineering University of Washington Seattle, WA, 98195-2355

Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove, Matt Schmittle, Colin Summers, Matthew Rockett, Rosario Scalise, Joshua R. Smith, Sanjiban Choudhur… 展开作者

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

备注：: Added Rosario Scalise to the author list

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AI总结：

MuSHR 是华盛顿大学开发的低成本开源机器人赛车平台，通过开放文档和教程支持教育研究，并提供演示与实验作业，旨在推动机器人领域民主化。

摘要：

我们介绍 MuSHR，即 Multi-agent System for non-Holonomic Racing（非完整约束竞速多智能体系统）。MuSHR 是一个低成本、开源的机器人赛车平台，用于教育和研究，由华盛顿大学 Paul G. Allen 计算机科学与工程学院的人形机器人实验室开发。MuSHR 致力于通过提供一个低成本平台来推动机器人领域的民主化，该平台可通过遵循详细的开放文档和 DIY 教程进行构建和部署。为华盛顿大学移动机器人课程开发的一组演示和实验作业提供了平台上的引导式动手体验，并为后续开发设定了里程碑。MuSHR 是学术研究实验室、机器人学教师和机器人爱好者的宝贵资产。

英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。