The course covers fundamental problems of autonomous mobile robotics including locomotion, perception, localization, planning and navigation. In the context of locomotion, legged, wheeled and flying mobile robots will be discussed. In the perception part, various sensors that are used on mobile robots will be introduced and several sensor fusion algorithms will be presented. Localization problems will be tackled in a probabilistic framework using Markov and Kalman Filtering techniques. Simultaneous Localization and Mapping (SLAM) problem and its variations will also be introduced and discussed. Finally planning and navigation strategies will be covered.