Biologically Inspired Robot Behavior Engineering

  • Richard J. Duro
  • José Santos
  • Manuel Graña

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 109)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Jean-Arcady Meyer, Stéphane Doncieux, David Filliat, Agnès Guillot
    Pages 1-43
  3. Toshio Fukuda, Yasuhisa Hasegawa
    Pages 45-87
  4. Susanne A. Huber, Heinrich H. Bülthoff
    Pages 89-117
  5. Stefano Nolfi, Davide Marocco
    Pages 199-213
  6. J. L. Buessler, J. P. Urban
    Pages 261-298
  7. B. Raducanu, P. Sussner, M. Graña
    Pages 365-393
  8. Back Matter
    Pages 439-439

About this book


The book presents an overview of current research on biologically inspired autonomous robotics from the perspective of some of the most relevant researchers in this area. The book crosses several boundaries in the field of robotics and the closely related field of artificial life. The key aim throughout the book is to obtain autonomy at different levels. From the basic motor behavior in some exotic robot architectures right through to the planning of complex behaviors or the evolution of robot control structures, the book explores different degrees and definitions of autonomous behavior. These behaviors are supported by a wide variety of modeling techniques: structural grammars, neural networks, and fuzzy logic and evolution underlies many of the development processes. Thus this text can be used by scientists and students interested in these areas and provides a general view of the field for a more general audience.


3D artificial life autonom autonomous robot autonomous robotics biologically inspired evolution mobile robot modeling motion planning navigation neural network optimization robot robotics

Editors and affiliations

  • Richard J. Duro
    • 1
  • José Santos
    • 2
  • Manuel Graña
    • 3
  1. 1.Escuela Politécnica SuperiorUniversidade da CoruñaFerrol (La Coruña)Spain
  2. 2.Departamento de ComputaciónUniversidade da CoruñaLa CoruñaSpain
  3. 3.Departamento de Ciencias de la Computación e Inteligencia ArtificialUniversidad del País Vasco, UPV/EHUSan SebastianSpain

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2003
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2517-6
  • Online ISBN 978-3-7908-1775-1
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site