CSE478: Autonomous Robotics

Catalog Description: Theory and application of algorithms and probabilistic techniques for autonomous robotics. Covers topics related to state estimation (Bayes filtering, probabilistic motion and sensor models), planning/control (search based planners, lattice based planners, trajectory following techniques), and perception and learning (object detection, learning from demonstrations etc.).

Prerequisites: CSE 332; recommended: CSE 312; MATH 308
Credits: 4.0

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