MOBILE ROBOTICS: METHODS & ALGORITHMS WINTER 2022
University of Michigan NA 568/EECS 568/ROB 530

For slides, lecture notes, and example codes, see https://github.com/UMichCURLYteachi...

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, localization; application to autonomous marine, ground, and air vehicles.

Playlist for the Course:    • Lecture 01Introduction