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...
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| Format: | Electronic |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Series: | Springer Tracts in Advanced Robotics,
89 |
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| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-37160-8 |
Table of Contents:
- 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.