• Overview of mobile robot hardware (locomotion, sensors)
• Robot Control architectures
• Behavior based control, collision avoidance
• Probabilistic models of sensing and acting
• Bayesian state estimation, particle filters
• Path planning
• Localization
• Map building
• Decision making

Recommended, additional readings will be distributed in class

• Robin Murphy, Introduction to AI Robotics,
       MIT Press (2000).
• Gregory Dudek, Computational Principles of Mobile Robotics,
       Cambridge University Press (200).