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AA 274: Principles of Robotic Autonomy

Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. Algorithmic approaches for robot perception, localization, and simultaneous localization and mapping; control of non-linear systems, learning-based control, and robot motion planning; introduction to methodologies for reasoning under uncertainty, e.g., (partially observable) Markov decision processes. Extensive use of the Robot Operating System (ROS) for demonstrations and hands-on activities. Prerequisite: CS 106A or equivalent.
Terms: Win | Units: 3 | Grading: Letter (ABCD/NP)
Instructors: ; Pavone, M. (PI)
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