mlsanityData to 14 Oct 2026

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

arXiv 1908.08031 ↗First posted 21 Aug 2019cs.ROcited by 18

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Abstract (arXiv)

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.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Aug 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 4; 2022: 3; 2023: 3; 2024: 2; 2025: 5; 2026: 1.

18 papers.

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  1. 2022Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racingcited by 64
  2. 2021Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systemscited by 37
  3. 2022PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Trainingcited by 24
  4. 2023Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approachcited by 15
  5. 2022AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Educationcited by 10
  6. 2023Modality-invariant Visual Odometry for Embodied Visioncited by 6
  7. 2024Autonomous Driving Small-Scale Cars: A Survey of Recent Developmentcited by 6
  8. 2023ConBaT: Control Barrier Transformer for Safe Policy Learningcited by 3
  9. 2025Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Roboticscited by 3
  10. 2024Steering Prediction via a Multi-Sensor System for Autonomous Racingcited by 2
  11. 2025Model Predictive Adversarial Imitation Learning for Planning from Observationcited by 2
  12. 2021Learning Online from Corrective Feedback: A Meta-Algorithm for Roboticscited by 1
6 more
  1. 2025JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutescited by 1
  2. 2021Nonprehensile Riemannian Motion Predictive Controlcited by 0
  3. 2021An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robotscited by 0
  4. 2025Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Drivingcited by 0
  5. 2025Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limitscited by 0
  6. 2026Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observationcited by 0