Probabilistic Bases
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This is the third chapter of the first section. It is a compendium of all the concepts and theorems of probability theory that are found in the problems of Bayesian estimation of a robot location and the map of its environment. It presents uncertainty as an intrinsic feature of any mobile robot that develops in a real environment. It is then discussed how uncertainty has been treated along the history of science and how probabilistic approaches have represented such a huge success in many engineering fields, including robotics. The fundamental concepts of probability theory are discussed along with some advanced topics needed in further chapters, following a learning curve as smooth and comprehensive as possible.
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2000 ◽
Vol 33
(2)
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pp. 209-222
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2005 ◽
Vol 58
(2)
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pp. 389-405
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2005 ◽
Vol 58
(2)
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pp. 305-310
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