Learning Robots 6th European Workshop, EWLR-6 Brighton, England, Aug
Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scienti c background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the res
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Lecture Notes in Computer Science Edited by G. Goos, J. Hartmanis and J. van Leeuwen
1545
3 Berlin Heidelberg New York Barcelona Budapest Hong Kong London Milan Paris Singapore Tokyo
Andreas Birk John Demiris (Eds.)
Learning Robots 6th European Workshop, EWLR-6 Brighton, England, August 1-2, 1997 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA J¨org Siekmann, University of Saarland, Saarbr¨ucken, Germany Volume Editors Andreas Birk Vrije Universiteit Brussel, Artificial Intelligence Laboratory Pleinlaan 2, B-1050 Brussels, Belgium E-mail: [email protected] John Demiris Department of Artificial Intelligence, University of Edinburgh 5 Forrest Hill, Edinburgh EH1 2QL, Scotland, UK E-mail: [email protected]
Cataloging-in-Publication data applied for Die Deutsche Bibliothek - CIP-Einheitsaufnahme Learning robots : 6th European workshop ; proceedings / EWLR ’96, Brighton, England, August 1 - 2, 1996. Andreas Birk ; John Demiris (ed.). - Berlin ; Heidelberg ; New York ; Barcelona ; Hong Kong ; London ; Milan ; Paris ; Singapore ; Tokyo : Springer, 1998 (Lecture notes in computer science ; 1545 : Lecture notes in artificial intelligence) ISBN 3-540-65480-1
CR Subject Classification (1998): I.2.9, I.2.11, I.2.6, I.6 ISBN 3-540-65480-1 Springer-Verlag Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. c Springer-Verlag Berlin Heidelberg 1998 Printed in Germany
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Preface
Robot learning is a broad and interdisciplinary area. This holds with regard to the basic interests and the scientific background of the researchers involved, as well as with regard to the techniques and approaches used. The interests that motivate the researchers in this field range from fundamental research issues, such as how to constructively understand intelligence, to purely application oriented work, such as the exploitation of learning techniques for industrial robotics. Given this broad scope of interests, it is not surprising that, although AI and robotics are usually the core of the robot learning field, disciplines like cognitive science, mathematics, social sciences, neuroscience, biology, and electrical engineering have also begun to play a role in it. In this way, its interdisciplinary character is more than a mere fashion, and leads to a productive exchange of ideas. One of the aims of EWLR-6 was to foster this exch
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