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After a brief introduction to probability theory and computational search strategies, this unit focuses on modeling uncertainty and making robust plans. Robotic applications include mapping an unknown space, determining one's location in a known space, and plotting a route through a maze.

Course topics, exercises and theme.
| Topics |
Bayes' theorem, search strategies |
| Lab Exercises |
Mapping: drive robot around unknown space and make map
Localization: give robot map and ask it to find where it is
Planning: plot a route to a goal in a maze
|
| Theme |
robust design in the face of uncertainty |
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