• Introduction
• Bug Approaches
• Curve Tracing
• Configuration Space
• Potential Functions
• Maxim Likhachev A* notes
• Maxim Likhachev agent centered search
• Maxim Likhachev anytime A*
• A*, D*, and D* Lite
• Roadmaps
• Cell Decompositions (Coverage, Pursuer/Evader)
• Path planning with dynamics
• Sample Based Methods
• Probability Primer
• Controls Primer
• Kalman Filtering
• Bayesian Techniques

The above lectures are a compilation of work based on notes and slides from Greg Hager, G. Ayorkor Mills-Tetty, Hyungpil Moon, Zack Dodds, Nancy Amato, Steven Lavalle, Seth Hutchinson, George Kantor, Dieter Fox, Vincent Lee-Shue Jr., Prasad Narendra Atkar, Kevin Tantiseviand, Bernice Ma, David Conner, and other members of previous versions of this class. I want to especially thank Greg Hager and Ji Yeong Lee for their help in supplying template slides and figures.