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...
Kaydedildi:
| 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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