Environment Learning for Indoor Mobile Robots : A Stochastic State Estimation Approach to Simultaneous Localization and Map Building

This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the m...

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Detaylı Bibliyografya
Asıl Yazarlar: Andrade Cetto, Juan, Sanfeliu, Alberto (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg 2006.
Cham : Springer Nature
Seri Bilgileri:Springer Tracts in Advanced Robotics 23
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Environment Learning for Indoor Mobile Robots, Texte imprimé, 9783642069314
• Environment Learning for Indoor Mobile Robots, Texte imprimé, 9783540821373
• Environment Learning for Indoor Mobile Robots, Texte imprimé, 9783540327950

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