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Biologically Inspired Robot Behavior Engineering

  • Book
  • © 2003

Overview

Editors:
  1. Richard J. Duro

    1. Escuela Politécnica Superior, Universidade da Coruña, Ferrol (La Coruña), Spain

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  2. José Santos

    1. Departamento de Computación, Universidade da Coruña, La Coruña, Spain

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  3. Manuel Graña

    1. Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, UPV/EHU, San Sebastian, Spain

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

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XX
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  2. Evolutionary Approaches to Neural Control of Rolling, Walking, Swimming and Flying Animats or Robots

    • Jean-Arcady Meyer, Stéphane Doncieux, David Filliat, Agnès Guillot
    Pages 1-43

  3. Behavior Coordination and its Modification on Monkey-type Mobile Robot

    • Toshio Fukuda, Yasuhisa Hasegawa
    Pages 45-87

  4. Visuomotor Control in Flies and Behavior — based Agents

    • Susanne A. Huber, Heinrich H. Bülthoff
    Pages 89-117

  5. Using Evolutionary Methods to Parameterize Neural Models: A Study of the Lamprey Central Pattern Generator

    • John Hallam, Auke Jan Ijspeert
    Pages 119-142

  6. Biologically Inspired Neural Network Approaches to Real-time Collision-free Robot Motion Planning

    • Simon X. Yang
    Pages 143-172

  7. Self-Adapting Neural Networks for Mobile Robots

    • Ralf Salomon
    Pages 173-197

  8. Evolving Robots Able to Integrate Sensory-Motor Information over Time

    • Stefano Nolfi, Davide Marocco
    Pages 199-213

  9. A Non-computationally-intensive Neurocontroller for Autonomous Mobile Robot Navigation

    • Andrés Pérez-Uribe
    Pages 215-238

  10. Some Approaches for Reusing Behaviour Based Robot Cognitive Architectures Obtained Through Evolution

    • R. J. Duro, J. Santos, J. A. Becerra
    Pages 239-259

  11. Modular Neural Architectures for Robotics

    • J. L. Buessler, J. P. Urban
    Pages 261-298

  12. Designing Neural Control Architectures for an Autonomous Robot Using Vision to Solve Complex Learning Tasks

    • A. Revel, P. Gaussier
    Pages 299-350

  13. Robust Estimation of the Optical Flow Based on VQ-BF

    • Manuel Graña
    Pages 351-363

  14. Steps Towards One-Shot Vision-Based Self-Localization

    • B. Raducanu, P. Sussner, M. Graña
    Pages 365-393

  15. Computing the Optimal Trajectory of Arm Movement: The TOPS (Task Optimization in the Presence of Signal-Dependent Noise) Model

    • Hiroyuki Miyamoto, Daniel M. Wolpert, Mitsuo Kawato
    Pages 395-415

  16. A General Learning Approach to Visually Guided 3D-Positioning and Pose Control of Robot Arms

    • Jianwei Zhang, Alois Knoll
    Pages 417-438

  17. Back Matter

    Pages 439-439
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Keywords

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.

Editors and Affiliations

  • Escuela Politécnica Superior, Universidade da Coruña, Ferrol (La Coruña), Spain

    Richard J. Duro

  • Departamento de Computación, Universidade da Coruña, La Coruña, Spain

    José Santos

  • Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco, UPV/EHU, San Sebastian, Spain

    Manuel Graña

Bibliographic Information

  • Book Title: Biologically Inspired Robot Behavior Engineering

  • Editors: Richard J. Duro, José Santos, Manuel Graña

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1775-1

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2003

  • Hardcover ISBN: 978-3-7908-1513-9Published: 22 October 2002

  • Softcover ISBN: 978-3-7908-2517-6Published: 21 October 2010

  • eBook ISBN: 978-3-7908-1775-1Published: 05 June 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XX, 439

  • Topics: Robotics and Automation, Artificial Intelligence, Simulation and Modeling

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