Fuzzy Logic Techniques for Autonomous Vehicle Navigation

  • Dimiter Driankov
  • Alessandro Saffiotti

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 61)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Tutorials

    1. Front Matter
      Pages 1-1
    2. Alessandro Saffiotti
      Pages 3-24
    3. Dimiter Driankov
      Pages 25-47
  3. Design of Individual Behaviors

    1. Front Matter
      Pages 49-49
    2. Annibal Ollero, Joaquin Ferruz, Omar Sánchez, Guillermo Heredia
      Pages 51-72
    3. Jelena Godjevac, Nigel Steele
      Pages 97-117
  4. Coordination of Behavior

    1. Front Matter
      Pages 149-149
    2. François G. Pin, Yutaka Watanabe
      Pages 151-178
    3. Steven G. Goodridge, Michael G. Kay
      Pages 179-203
    4. Paolo Pirjanian, Maja Matarić
      Pages 235-253
  5. Mapping the Environment

    1. Front Matter
      Pages 255-255
    2. Elisabetta Fabrizi, Giuseppe Oriolo, Giovanni Ulivi
      Pages 257-279
    3. Maite López-Sánchez, Ramon López de Màntaras, Carles Sierra
      Pages 281-312
  6. Layer Integration

    1. Front Matter
      Pages 341-341
    2. Hartmut Surmann, Liliane Peters
      Pages 343-365
  7. Back Matter
    Pages 386-393

About this book


The goal of autonomous mobile robotics is to build and control physical systems which can move purposefully and without human intervention in real-world environments which have not been specifically engineered for the robot. The development of techniques for autonomous mobile robot operation constitutes one of the major trends in the current research and practice in modern robotics. This volume presents a variety of fuzzy logic techniques which address the challenges posed by autonomous robot navigation. The focus is on four major problems: how to design robust behavior-producing control modules; how to use data from sensors for the purpose of environment modeling; and how to integrate high-level reasoning and low-level behavior execution. In this volume state-of-the-art fuzzy logic solutions are presented and their pros and cons are discussed in detail based on extensive experimentation on real mobile robots.


Navigation autonomous robot behavior control design environment fuzzy fuzzy control fuzzy logic logic mobile robot modeling robot robotics sensor

Editors and affiliations

  • Dimiter Driankov
    • 1
  • Alessandro Saffiotti
    • 1
  1. 1.Department of TechnologyÖrebro UniversityÖrebroSweden

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2001
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2479-7
  • Online ISBN 978-3-7908-1835-2
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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