Some Applications in Robotics

Jean-François Mari and René Schott
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Jean-François Mari: LORIA and Université Nancy 2
René Schott: Université Henri Poincaré-Nancy 1

Chapter Chapter 5 in Probabilistic and Statistical Methods in Computer Science, 2001, pp 177-204 from Springer

Abstract: Abstract In this section, we describe a method based on hidden Markov models for learning and recognizing places in an indoor environment by a mobile robot. Hidden Markov models have been used for a long time in pattern recognition, especially in speech recognition. Their main advantages over other methods (e.g. neural networks, ... ) are their capabilities to modelize noisy temporal signals of variable length.

Keywords: Hide Markov Model; Mobile Robot; Optimal Policy; Markov Decision Process; Reward Function (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-6280-8_5

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DOI: 10.1007/978-1-4757-6280-8_5

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