Artificial Intelligence for Robotics

Catalog description

This is an introductory course covering topics in artificial intelligence that are most relevant to robotics applications. Students will learn techniques for perception, planning, and actuation including: (i) informed, uninformed, and adversarial search; (ii) reasoning with uncertainty; (iii) reinforcement learning; and (iv) deep learning. The course will include a series of laboratories culminating in a final project on perception and navigation in a dynamic environment. Recommended Background: Linear algebra, as found in MA 2071; Differential equations, as found in MA 2051; Probability, as found in MA 2621 or MA 2631; Data structures and algorithms, as found in CS 2223.