Soft Computing for Intelligent Robotic Systems

  • Lakhmi C. Jain
  • Toshio Fukuda

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 21)

Table of contents

  1. Front Matter
    Pages I-X
  2. Akio Ishiguro, Yuji Watanabe, Toshiyuki Kondo, Yoshiki Uchikawa
    Pages 27-48
  3. J. P. Urban, J. L. Buessler, J. Gresser
    Pages 81-111
  4. Yasuhisa Hasegawa, Toshio Fukuda
    Pages 141-157
  5. I. Ahrns, G. Hailu, J. Bruske, G. Sommer
    Pages 185-214
  6. Lisa Meeden, Deepak Kumar
    Pages 215-233
  7. Back Matter
    Pages 235-238

About this book


Research results using some of the most advanced soft computing techniques in intelligent robotic systems are presented. The main purpose of this book is to show how the power of soft computing techniques can be exploited in intelligent robotic systems. The main emphasis is on control system for a mobile robot, behavior arbitration for a mobile robot, reinforcement learning of a robot, manipulation of a robot, collision avoidance and automatic design of robots.
This book will be useful for application engineers, scientists and researchers who wish to use some of the most advanced soft computing techniques in robotics.


Intelligente Roboter Sonar Trend behavior control control system evolution learning navigation networks neural networks reinforcement learning robot robotics soft computing

Editors and affiliations

  • Lakhmi C. Jain
    • 1
  • Toshio Fukuda
    • 2
  1. 1.Knowledge-Based Intelligent Engineering Systems CentreUniversity of South AustraliaAdelaide, Mawson LakesAustralia
  2. 2.Center for Cooperative Research in Advanced Science and TechnologyNagoya UniversityNagoyaJapan

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 1998
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-13003-2
  • Online ISBN 978-3-7908-1882-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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