UMich NA/EECS 568, ROB 530: Mobile Robotics: Methods and Algorithms (Prospective)
Joint Instructor, Graduate Course, University of Michigan, 2024
Theory and application of probabilistic and geometric techniques for autonomous mobile robotics. This course presents and critically examines contemporary algorithms for robot perception. Topics include Bayesian filtering; stochastic representations of the environment; motion and sensor models for mobile robots; algorithms for mapping and localization; application to autonomous marine, ground, and air vehicles.