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.
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