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...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Σειρά: | Springer Tracts in Advanced Robotics,
89 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
