Autonomous Racing with the Berkeley Autonomous Race Car
Francesco Borrelli, Professor
Mechanical Engineering
Applications for Spring 2025 are closed for this project.
The 1/10-scale Berkeley Autonomous Race Car (BARC) platform is used for demonstrating novel control algorithms and to support the vehicle dynamics course. This project involves building updated versions of the 1/10-scale BARC platform. While building the platforms the design and construction of the platform needs to be documented. The second objective of this project is to help graduate students collect data and run experiments testing novel control algorithms on the platform.
Role: Students will work at the intersection of mechanical design and controls and can expect to learn about mechatronics and gain experience with testing on hardware. Students will help run experiments to collect data, do system identification tests, and to demonstrate novel control algorithms on the BARC platform. Students will help maintain the BARC platform as needed and help document the design as well as the codebase.
Qualifications: Students must have experience coding in Python. Prior experience with ROS or ROS2 is beneficial. Prior experience with mechatronics or robotic systems is beneficial, and students must be comfortable working with hardware.
Day-to-day supervisor for this project: Fionna Kopp, Graduate Student
Hours: 9-11 hrs
Mathematical and Physical Sciences Engineering, Design & Technologies