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Learning Robots

6th European Workshop, EWLR-6 Brighton, England, August 1–2, 1997 Proceedings

  • Andreas Birk
  • John Demiris
Conference proceedings EWLR 1997

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1545)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1545)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Tony Belpaeme, Joris Van Looveren, Luc Steels
    Pages 1-12
  3. Hajime Murao, Shinzo Kitamura
    Pages 13-28
  4. Zsolt Kalmár, Csaba Szepesvári, András Lorincz
    Pages 29-45
  5. Yassine Faihe, Jean-Pierre Müller
    Pages 46-61
  6. Axel Großmann, Riccardo Poli
    Pages 95-108
  7. Paul Vogt
    Pages 126-141
  8. Nuno Chalmique Chagas, John Hallam
    Pages 142-154
  9. Wei-Po Lee, John Hallam, Henrik Hautop Lund
    Pages 155-172
  10. Didier Keymeulen, Kenji Konaka, Masaya Iwata, Yasuo Kuniyoshi, Tetsuya Higuchi
    Pages 173-188

About these proceedings

Introduction

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 researchers in this eld range from fundamental research issues, such as how to constructively understand intelligence, to purely application o- ented 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 eld, disciplines like cog- tive 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 exchange of ideas and to f- ther boost contacts between the di erent scienti c areas involved in learning robots. EWLR is, traditionally, a \European Workshop on Learning Robots". Nevertheless, the organizers of EWLR-6 decided to open up the workshop to non-European research as well, and included in the program committee we- known non-European researchers. This strategy proved to be successful since there was a strong participation in the workshop from researchers outside - rope, especially from Japan, which provided new ideas and lead to new contacts.

Keywords

artificial intelligence autonom autonomous robot evolution intelligence learning mobile robot neural network reinforcement learning robot robotics

Editors and affiliations

  • Andreas Birk
    • 1
  • John Demiris
    • 2
  1. 1.Artificial Intelligence LaboratoryVrije Universiteit BrusselBrusselsBelgium
  2. 2.Department of Artificial IntelligenceUniversity of EdinburghEdinburghScotland, UK

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-49240-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-65480-3
  • Online ISBN 978-3-540-49240-5
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site