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Environment Learning For Indoor Mobile Robots: A Stochastic State Estimation Approach To Simultaneous Localization And Map Building at Meripustak

Environment Learning For Indoor Mobile Robots: A Stochastic State Estimation Approach To Simultaneous Localization And Map Building by Alberto Sanfeliu Juan Andrade-Cetto, Springer

Books from same Author: Alberto Sanfeliu Juan Andrade-Cetto

Books from same Publisher: Springer

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  • General Information  
    Author(s)Alberto Sanfeliu Juan Andrade-Cetto
    PublisherSpringer
    EditionEdition Statement 2006 ed.
    ISBN9783540327950
    Pages136
    BindingHard Binding
    LanguageEnglish
    Publish YearJuly 2006

    Description

    Springer Environment Learning For Indoor Mobile Robots: A Stochastic State Estimation Approach To Simultaneous Localization And Map Building by Alberto Sanfeliu Juan Andrade-Cetto

    This Monograph Covers Theoretical Aspects Of Simultaneous Localization And Map Building For Mobile Robots. These Include 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 Most Relevant Topics Covered In This Monograph Is The Theoretical Formalism Of Partial Observability In Slam.Show More



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