NA/EECS 568, ROB 530: Mobile Robotics: Methods and Algorithms
Joint Instructor, Graduate Course, University of Michigan, 2024
Description: 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.