Skip to main content
SpringerLink
Log in

Soft Computing for Intelligent Robotic Systems

  • Book
  • © 1998

Overview

Editors:
  1. Lakhmi C. Jain

    1. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Adelaide, Mawson Lakes, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Toshio Fukuda

    1. Center for Cooperative Research in Advanced Science and Technology, Nagoya University, Nagoya, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Most up-to-date techniques in robotics

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 chapters)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. A Fuzzy-Neural Realization of Behavior-Based Control Systems for a Mobile Robot

    • Keigo Watanabe, Kiyotaka Izumi
    Pages 1-26

  3. Artificial Immune Network and Its Application to Robotics

    • Akio Ishiguro, Yuji Watanabe, Toshiyuki Kondo, Yoshiki Uchikawa
    Pages 27-48

  4. Reinforcement Learning of a Six-Legged Robot to Walk and Avoid Obstacles

    • Anne Johannet, Isabelle Sarda
    Pages 49-80

  5. Neural Networks for Visual Servoing in Robotics

    • J. P. Urban, J. L. Buessler, J. Gresser
    Pages 81-111

  6. Intelligent Optimal Design of CMAC Neural Network for Robot Manipulators

    • Young H. Kim, Frank L. Lewis
    Pages 113-140

  7. Hierarchical Behavior Controller in Robotic Applications

    • Yasuhisa Hasegawa, Toshio Fukuda
    Pages 141-157

  8. Neural Reinforcement Learning for Robot Navigation

    • S. Sehad
    Pages 159-184

  9. Neural Fuzzy Techniques in Sonar-Based Collision Avoidance

    • I. Ahrns, G. Hailu, J. Bruske, G. Sommer
    Pages 185-214

  10. Trends in Evolutionary Robotics

    • Lisa Meeden, Deepak Kumar
    Pages 215-233

  11. Back Matter

    Pages 235-238
    Download chapter PDF
Back to top

Keywords

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.

Editors and Affiliations

  • Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Adelaide, Mawson Lakes, Australia

    Lakhmi C. Jain

  • Center for Cooperative Research in Advanced Science and Technology, Nagoya University, Nagoya, Japan

    Toshio Fukuda

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation