Project Name: Predator vs. Prey
My Team: The Argonauts
ROVs' Names: Nemo and Dory
Objective: Use a Raspberry Pi to automate control of an ROV (Remotely Operated Vehicle) using Computer Vision and Control Theory
In the MIT Beaver Works Summer Institute (BWSI) course, my team and I were challenged to build an Autonomous Underwater Vehicle (AUV) that could autonomously navigate and interact with its environment using only Computer Vision—a unique challenge given the typical reliance on SONAR for underwater navigation. The final project, titled Predator vs. Prey, involved creating two AUVs with distinct objectives. The “Predator” was programmed to detect the “Prey” and plot a path to intercept it, while the “Prey” was designed to detect the Predator and plot a path to evade it. This task required complex programming, control theory, and strategies.