From Motor Learning to Interaction Learning in Robots

From Motor Learning to Interaction Learning in Robots

by Olivier Sigaud
     
 

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

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Overview

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.

Editorial Reviews

From the Publisher
Aus den Rezensionen:

“... Dieses Buch ist eine Sammlung an wissenschaftlichen Beitragen, die Methoden diskutieren, wie dem Roboter Aufgaben beigebracht wer den können und wie solche Roboter optimalerweise gestaltet werden sollten. 5 Beitrage erlautern biologisch inspirierte Programmer Modelle, 7 Aufsätze diskutieren Roboter Lcrnstrategien und 8 befassen sich mit der Imitationsmethode, bei der man dem Roboter vormacht, was man von ihm erwartet. Ein aktuelles Buch für Roboter Entwickler.“ (in: Bulletin SEV/VSE electrosuisse (Sonderausgabe), 22/October/2010)

Product Details

ISBN-13:
9783642262326
Publisher:
Springer Berlin Heidelberg
Publication date:
04/06/2012
Series:
Studies in Computational Intelligence Series, #264
Edition description:
2010
Pages:
538
Product dimensions:
6.10(w) x 9.00(h) x 1.20(d)

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