Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (Record no. 57720)
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| 000 -LEADER | |
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| fixed length control field | 03811nam a22005295i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-37160-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421112227.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130508s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642371608 |
| -- | 978-3-642-37160-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 629.892 |
| 100 1# - AUTHOR NAME | |
| Author | Sturm, J�urgen. |
| 245 10 - TITLE STATEMENT | |
| Title | Approaches to Probabilistic Model Learning for Mobile Manipulation Robots |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXV, 204 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Springer Tracts in Advanced Robotics, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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, transportation, inspection, and monitoring services. The challenge in these applications is that the robots have to function under changing, real-world conditions, be able to deal with considerable amounts of noise and uncertainty, and operate without the supervision of an expert. This book presents novel learning techniques that enable mobile manipulation robots, i.e., mobile platforms with one or more robotic manipulators, to autonomously adapt to new or changing situations. The approaches presented in this book cover the following topics: (1) learning the robot's kinematic structure and properties using actuation and visual feedback, (2) learning about articulated objects in the environment in which the robot is operating, (3) using tactile feedback to augment the visual perception, and (4) learning novel manipulation tasks from human demonstrations. This book is an ideal resource for postgraduates and researchers working in robotics, computer vision, and artificial intelligence who want to get an overview on one of the following subjects: �         kinematic modeling and learning, �         self-calibration and life-long adaptation, �         tactile sensing and tactile object recognition, and �         imitation learning and programming by demonstration. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-37160-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Automation. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Robotics and Automation. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image Processing and Computer Vision. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1610-7438 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
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