Approaches to probabilistic model learning for mobile manipulation robots
Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context. Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportat...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2013. |
| Edice: | Springer Tracts in Advanced Robotics
89 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Approaches to Probabilistic Model Learning for Mobile Manipulation Robots, Texte imprimé, 9783642371592 • Approaches to Probabilistic Model Learning for Mobile Manipulation Robots, Texte imprimé, 9783642371615 • Approaches to Probabilistic Model Learning for Mobile Manipulation Robots, Texte imprimé, 9783642437144 • Approaches to Probabilistic Model Learning for Mobile Manipulation Robots, Texte imprimé, 9783642371592 |
Obsah:
- Introduction Basics Body Schema Learning Learning Kinematic Models of Articulated Objects Vision-based Perception of Articulated Objects Object Recognition using Tactile Sensors Object State Estimation using Tactile Sensors Learning Manipulation Tasks by Demonstration Conclusions