EE - Planning and Control of Multi-robot Coordination
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This one-semester undergraduate research project will investigate multi-robot situation awareness and autonomous planning using a team of mobile robots (BabyBots). The project will focus on addressing a robotic decision-making problem in grid-world environment in which multiple robots must perceive their surroundings, understand the motion and intentions of nearby robots, and safely coordinate their movements through a shared map.
Students will gain hands-on experience with Python, ROS, perception and path planning. The project will begin with simulation and individual robot testing, followed by integration and experiments involving multiple physical BabyBots. Students will evaluate the system using metrics such as mission success rate, collision rate, crossing time, waiting time, and robustness to sensing uncertainty.