Run the MuSHR platform on your machine!
Get the MuSHR Sim working on your computer!
Fundamental Robot Operating System (ROS) concepts using MuSHR.
Basic components of the car and their associated software counterparts.
Initialize and operate MuSHRs out-of-the-box autonomous navigation stack!
Plan and control multiple MuSHR cars to different goals without collisions
A powerful 1/10 scale rally car chassis provides four wheel drive, brushed DC motor, and ESC suitable for most speeds (0-30 mph).
The base MuSHR car with no sensing has a bill-of-materials (BOM) cost of $610, while a fully equipped car costs around $930.
Our ROS-based simulator let's you prototype your system without needing to turn on the robot, saving you valuable time when you do.
Integration with the YDLiDAR X4 provides a 360 degree FOV at 10hz, all in a radically economic package.
Learn the principles of sensor fusion or test your latest SLAM algorithm using the Razor 9dof IMU or any other of your choice.
MuSHR uses the Intel Realsense line of RGBD cameras to provide point clouds for tasks such as obstacle avoidance or object tracking.
We have refined the MuSHR platform through two undergraduate and two graduate robotics courses, distilling lessons learned into the V3 roboracer. From these endeavors, we offer ready-to-go labs and assignments, as well as sample curricula and slides that were well-received in the recent undergraduate level robotics course "Mobile Robots".
Winter, 2020 | Undergraduate | Autonomous Robots |
Spring, 2019 | Undergraduate | Mobile Robots |
Winter, 2019 | Graduate | Robotics: Algorithms and Applications |
Autumn, 2018 | Graduate | Introduction to AI for Mobile Robots |
Winter, 2018 | Undergraduate | Robotics |
If you plan to use any part of the the MuSHR platform (including tutorials, codebase, or hardware instructions) for a project or paper, please cite MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research.
@article{srinivasa2019mushr,
title={{MuSHR}: A Low-Cost, Open-Source Robotic Racecar for Education and Research},
author={Srinivasa, Siddhartha S. and Lancaster, Patrick and Michalove, Johan and Schmittle, Matt and Summers, Colin and Rockett, Matthew and Smith, Joshua R. and Chouhury, Sanjiban and Mavrogiannis, Christoforos and Sadeghi, Fereshteh},
journal={CoRR},
volume={abs/1908.08031},
year={2019}
}