Resources

Obviously, this is a short course, so you will want to be selective in what you read since you don’t have a lot of time to, say, cover path planning in depth. The following resources range from short and sweet to long and in-depth.

ROS resources

• ROS wiki has all things ROS including very good tutorials.
• The self-proclaimed simplest ROS tutorial

Computer vision resources

Path planning resources

• Dr. Sertac Karaman at MIT has implemented a sampling-based motion planning library, and an RRT* library, both of which you can find here.
• Principles of Robot Motion by Choset et al. is a great book for understanding probabilistic algorithms for motion planning.
• Simultaneous Localization And Mapping (SLAM). Hugh Durrant-Whyte and Tim Bailey have written a more mathematical introduction to the field.
• Hector Slam explains how scan matching works, in addition to subsequent Kalman filtering.

Control resources

• A very easy-going PID tutorial from Finn Peacock via Control Solutions. Worth it just to learn the expression “rare as hen’s teeth”. If you’ve seen PID in a Control class, it might not tell you much.

C++ resources

• Good god there’s so many of these. Here’s one: Cplusplus.

Other Resources

• Tutorial on making videos and uploading them to vimeo by Chris Callison-Burch at the University of Pennsylvania.