Bio-Inspired Self-Organizing Robotic Systems

Released on by Yan Meng
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  • Bio-Inspired Self-Organizing Robotic Systems Book Detail

  • Author : Yan Meng
  • Release Date : 2011-05-08
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 273
  • ISBN 13 : 3642207596
  • File Size : 40,40 MB
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Bio-Inspired Self-Organizing Robotic Systems by Yan Meng PDF Summary

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.

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Advances in Neuro-Information Processing

Advances in Neuro-Information Processing

File Size : 80,80 MB
Total View : 6568 Views
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The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Inform