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Autonomous Robotic Systems

Soft Computing and Hard Computing Methodologies and Applications

  • Changjiu Zhou
  • Darío Maravall
  • Da Ruan

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 116)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Basic Principles and Methodologies

  3. Planning and Navigation

    1. Front Matter
      Pages 73-73
    2. Edward Tunstel, Ayanna Howard, Terry Huntsberger, Ashitey Trebi-Ollennu, John M. Dolan
      Pages 75-102
    3. Javier de Lope, Darío Maravall
      Pages 103-139
    4. J. F. Peters, T. C. Ahn, M. Borkowski, V. Degtyaryov, S. Ramanna
      Pages 141-163
    5. Cristina Urdiales, Antonio Bandera, Eduardo Pérez, Alberto Poncela, Francisco Sandoval
      Pages 165-188
    6. Prahlad Vadakkepat, Tong-Heng Lee, Liu Xin
      Pages 217-232
  4. Learning, Adaptation and Control

    1. Front Matter
      Pages 233-233
    2. Alessandro Saffiotti, Zbigniew Wasik
      Pages 235-262
    3. Hani Hagras, Victor Callaghan, Martin Colley, Graham Clarke, Hakan Duman
      Pages 293-322
    4. Anthony Wong, Marcelo H. Ang Jr.
      Pages 323-352
  5. Vision and Perception

    1. Front Matter
      Pages 429-429
    2. Marco Balsi, Xavier Vilasís-Cardona
      Pages 431-450
    3. Pelegrín Camacho, Fabián Arrebola, Francisco Sandoval
      Pages 451-470
    4. José M. Buenaposada, Luis Baumela
      Pages 471-492
  6. Back Matter
    Pages 493-500

About this book

Introduction

This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems. Each contribution has been exclusively written for this volume by a leading researcher. The volume demonstrates the various ways that the soft computing and hard computing techniques can be used in different integrated manners to better develop autonomous robotic systems that can perform various tasks of vision, perception, cognition, thinking, pattern recognition, decision-making, and reasoning and control, amongst others. Each chapter of the book is self-contained and points out the future direction of research.

"It is a must reading for students and researchers interested in exploring the potentials of the fascinating field that will form the basis for the design of the intelligent machines of the future"
(Madan M. Gupta)

Keywords

Navigation Potential artificial intelligence autonomous robot cognition computer vision control learning pattern pattern recognition perception reading robot robotics soft computing

Editors and affiliations

  • Changjiu Zhou
    • 1
  • Darío Maravall
    • 2
  • Da Ruan
    • 3
  1. 1.Singapore PolytechnicSchool of Electrical and Electronic EngineeringSingaporeRepublic of Singapore
  2. 2.Department of Artificial Intelligence Faculty of Computer ScienceUniversidad Politécnica de MadridMadridSpain
  3. 3.Belgian Nuclear Research Centre (SCK·CEN)MolBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1767-6
  • Copyright Information Physica-Verlag Heidelberg 2003
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2523-7
  • Online ISBN 978-3-7908-1767-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site