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100301s2010 gw | s |||| 0|eng d |
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|a 9783642051814
|9 978-3-642-05181-4
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|a 10.1007/978-3-642-05181-4
|2 doi
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|a Q342
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|a COM004000
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|a 006.3
|2 23
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|a Sigaud, Olivier.
|e editor.
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|a From Motor Learning to Interaction Learning in Robots
|c edited by Olivier Sigaud, Jan Peters.
|h [electronic resource] /
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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| 300 |
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|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Studies in Computational Intelligence,
|v 264
|x 1860-949X ;
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|a Part I Biologically inspired Models for Motor Learning -- Part II Learning Policies for Motor Control -- Part III Imitation and Interaction Learning.
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| 520 |
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|a From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop From motor to interaction learning in robots held at the IEEE/RSJ International Conference on Intelligent Robot Systems. The major aim of the book is to give students interested the topics described above a chance to get started faster and researchers a helpful compandium.
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|a Engineering.
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|a Artificial intelligence.
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|a Engineering.
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|a Computational Intelligence.
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| 650 |
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|a Robotics and Automation.
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| 650 |
2 |
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|a Artificial Intelligence (incl. Robotics).
|
| 700 |
1 |
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|a Peters, Jan.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783642051807
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| 830 |
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|a Studies in Computational Intelligence,
|v 264
|x 1860-949X ;
|
| 856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-05181-4
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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