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Lecture 01-Introduction
Автор: UMich-CURLY
Загружено: 2022-01-15
Просмотров: 17428
Описание:
MOBILE ROBOTICS: METHODS & ALGORITHMS - WINTER 2022
University of Michigan - NA 568/EECS 568/ROB 530
For slides, lecture notes, and example codes, see https://github.com/UMich-CURLY-teachi...
Theory and application of probabilistic and geometric techniques for autonomous mobile robotics. This course presents and critically examines contemporary algorithms for robot perception. Topics include Bayesian filtering; stochastic representations of the environment; motion and sensor models for mobile robots; algorithms for mapping, localization; application to autonomous marine, ground, and air vehicles.
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