ME 656 Autonomous Navigation for Mobile Robots
Mobile robot geometry, kinematics, and dynamics. Control and estimation for autonomous vehicles. Motion planning, including discrete and continuous methods, and sampling-based planning. Simultaneous localization and mapping, including active SLAM and autonomous exploration with occupancy grids. Markov decision processes and partially observable Markov decision processes with application to mobile robots; planning under uncertainty. Introduction to supervised learning and reinforcement learning, including deep learning. Applications of machine learning to autonomous navigation.