ESE Ph.D. Thesis Defense: “Learning Environmental Models with Multi-Robot Teams Using a Dynamical Systems Approach”
PERCH 303, Pennovation 3rd Floor 3401 Grays Ferry Avenue, Bldg 6176, Philadelphia, PA, United StatesRobots have the capability to sense and track natural phenomena for environmental monitoring, deepening our understanding of the world. Robotic modeling of such phenomena is essential to operating in complex environments, allowing robots to perform in more realistic scenarios. Thus, representing complex environments is paramount to the success of multi-robot teams. While considerable efforts have […]