Advertisement

Table of contents

  1. Front Matter
  2. Federico Cuesta, Aníbal Ollero
    Pages 1-6
  3. Federico Cuesta, Aníbal Ollero
    Pages 7-49
  4. Federico Cuesta, Aníbal Ollero
    Pages 51-77
  5. Federico Cuesta, Aníbal Ollero
    Pages 79-122
  6. Federico Cuesta, Aníbal Ollero
    Pages 123-158
  7. Federico Cuesta, Aníbal Ollero
    Pages 159-188
  8. Federico Cuesta, Aníbal Ollero
    Pages 189-194
  9. Back Matter

About this book

Introduction

Intelligent Mobile Robot Navigation builds upon the application of fuzzy logic to the area of intelligent control of mobile robots. Reactive, planned and teleoperated techniques are considered, leading to the development of novel fuzzy control systems for perception and navigation of nonholonomic autonomous vehicles. The unique feature of this monograph lies in its comprehensive treatment of the problem from the theoretical development of the various schemes down to the real-time implementation of algorithms on mobile robot prototypes. As such, the book spans across different domains ranging from mobile robots to intelligent transportation systems, from automatic control to artificial intelligence.

Keywords

actor algorithms artificial intelligence autonom fuzzy fuzzy logic fuzzy systems intelligence mobile robot navigation robot stability

Bibliographic information

  • DOI https://doi.org/10.1007/b14079
  • Copyright Information Springer-Verlag Berlin/Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-23956-7
  • Online ISBN 978-3-540-31507-0
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • Buy this book on publisher's site
Industry Sectors
Pharma
Materials & Steel
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering