Bio-Inspired Self-Organizing Robotic Systems Softcover reprint of the original 1st ed. 2011 Edition

Bio-Inspired Self-Organizing Robotic Systems Softcover reprint of the original 1st ed. 2011 Edition book cover

Bio-Inspired Self-Organizing Robotic Systems Softcover reprint of the original 1st ed. 2011 Edition

Author(s): Yan Meng (Editor), Yaochu Jin

  • Publisher: Springer
  • Publication Date: August 23, 2016
  • Edition: Softcover reprint of the original 1st ed. 2011
  • Language: English
  • Print length: 285 pages
  • ISBN-10: 3662506645
  • ISBN-13: 9783662506646

Book Description

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.

 

Editorial Reviews

From the Back Cover

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.

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