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This lecture covers the basics of mobile robotics, focusing on uncertainties. Topics include conditional probability, Bayes rule, robot-environment interaction formalism, and Bayes filter. The Bayes filter algorithm and its applications in probabilistic robotics are discussed, along with types of robot-environment interactions and the concept of belief distribution.