Team

Mechanical Engineering graduate student with experience in mechanical design, control theory, and programming for embedded systems. His major contributions on the project were control and path-planning.

EECS undergraduate student. Experience in full stack web development and OpenCV based computer vision. Haochen worked on path planning, simulation infrastructure, and strategy. He also worked on decentralizing our application through robotic sensors and computer vision.

EECS undergraduate with experience in systems and mechanical design through the UC Solar Car Team. Casper helped research and implement various path planning algorithms. He also worked on the state machine logic for passing.

Applied Mathematics and Computer Science undergraduate with experience in optimization, machine learning, probability and programming using ROS for drones for pathfinding. For this project, he worked on state machine logic for passing, path planner experimentation and design, control, and the website.

Mechanical engineering graduate student with industry experience in a mechatronics engineering role. Along with experience in leading a mechanical engineering team on CalSol, the solar car team at UC Berkeley. For this project, he worked on the control and path planner design.