Active Learning in Robotics

1 Unit · Graduate

This class covers the fundamentals of automatically determining actions for obtaining information in robotic systems. Topics include methods in optimal control, probability and filtering theory, information theory and information measures, active sensing, infotaxis, nonparametric modeling techniques, and Markov Decision Processes. Case studies in papers are used to illustrate and test concepts.