Studies in Computational Intelligence

Bio-Inspired Self-Organizing Robotic Systems

Editors: Meng, Yan, Jin, Yaochu (Eds.)

  • State-of-the-art research inspired by biological principles for self-organizing robotic systems
  • Bridges multi-disciplinary research areas such as robotics, artificial life, systems biology, and evolutionary computation
  • Written by experts in the field
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About this book

Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments.  Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.

 

Table of contents (11 chapters)

  • Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems

    Jin, Yaochu (et al.)

    Pages 3-23

  • How to Engineer Robotic Organisms and Swarms?

    Schmickl, Thomas

    Pages 25-52

  • Flocking Control Algorithms for Multiple Agents in Cluttered and Noisy Environments

    La, Hung Manh (et al.)

    Pages 53-79

  • Genetic Stigmergy

    Brandoff, Joshua (et al.)

    Pages 81-103

  • From Ants to Robots and Back: How Robotics Can Contribute to the Study of Collective Animal Behavior

    Garnier, Simon

    Pages 105-120

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-20760-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-642-20759-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Bio-Inspired Self-Organizing Robotic Systems
Editors
  • Yan Meng
  • Yaochu Jin
Series Title
Studies in Computational Intelligence
Series Volume
355
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer Berlin Heidelberg
eBook ISBN
978-3-642-20760-0
DOI
10.1007/978-3-642-20760-0
Hardcover ISBN
978-3-642-20759-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 275
Topics