NAME 568/EECS 568/ROB 530; Graduate Course; Winter 2018 and 2019
College of Engineering, University of Michigan
Course Website (includes teaching materials and code examples):
Course Description :
Theory and application of probabilistic techniques for autonomous mobile robotics. This course will present and critically examine 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.
The course material is based on previous UM courses imparted by Prof. Ryan Eustice and Prof. Edwin Olson.