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

Portions of the CSE478 web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly creditied. The CSE478 Web: © 1993-2022, Department of Computer Science and Engineering, Univerity of Washington. Administrative information on CSE478 (authentication required).