COMP 150-04 Probabilistic Robotics

This course is a continuation of COMP 131 (Artificial Intelligence) with an emphasis on probabilistic methods that can be applied to robotics. The first part of the course will introduce the Kalman filter and related Bayesian filters for state estimation. These techniques will then be applied to topics such as localization, mapping, planning, and control.