Boston University's premier autonomous racing team, mastering PID control systems and advanced robotics algorithms for competitive 1/10th scale autonomous racing.
To advance autonomous vehicle technology through mastery of PID control systems, SLAM algorithms, and real-time path planning. We provide Boston University students with hands-on experience in robotics control theory, sensor fusion, and competitive autonomous racing while building the fastest 1/10th scale race cars.
To be the world's leading university autonomous racing team, pushing the boundaries of PID control precision, sensor-based navigation, and real-time decision making in high-speed autonomous racing while preparing engineers for the future of transportation.
Master proportional-integral-derivative controllers for precise steering, throttle, and stability control in high-speed autonomous racing.
Implement simultaneous localization and mapping using LiDAR, IMU sensors, and particle filter algorithms for real-time navigation.
Apply control theory and path planning algorithms in international F1TENTH competitions, racing against top universities worldwide.
Team information coming soon.