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Symbiotic Multi-Robot Organisms Reliability, Adaptability, Evolution [Hardcover]

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  • Category: Books (Computers)
  • ISBN-10:  3642116914
  • ISBN-10:  3642116914
  • ISBN-13:  9783642116919
  • ISBN-13:  9783642116919
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  470
  • Pages:  470
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2010
  • Pub Date:  01-Feb-2010
  • SKU:  3642116914-11-SPRI
  • SKU:  3642116914-11-SPRI
  • Item ID: 100894985
  • List Price: $169.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Jul 04 to Jul 06
  • Notes: Brand New Book. Order Now.

This book examines the evolution of self-organised multicellular structures, and the remarkable transition from unicellular to multicellular life. It shows the way forward in developing new robotic entities that are versatile, cooperative and self-configuring.

Concepts of Symbiotic Robot Organisms.- Heterogeneous Multi-Robot Systems.- Cognitive Approach in Artificial Organisms.- Adaptive Control Mechanisms.- Learning, Artificial Evolution and Cultural Aspects of Symbiotic Robotics.- Final Conclusions.This book is devoted to the study of the evolution of self-organised multicellular structures and the remarkable transition from unicellular to multicellular life. Multicellular organisms provide the inspiration for the development of novel principles of adaptation and evolution for robotics and, in particular, for so-called multi-robot organisms.Multi-robot organisms are defined as large-scale swarms of robots that can physically dock with each other and symbiotically share energy and computational resources within a single artificial-life-form . When it is advantageous to do so, these robots can dynamically aggregate and self-assemble into one or many symbiotic organisms in order to collectively interact with the physical world via a variety of sensors and actuators. Bio-inspired evolutionary paradigms, combined with robot embodiment and swarm-emergent phenomena, enable the organisms to autonomously manage their own hardware and software organisation. In this way, artificial robotic organisms become self-configuring from both hardware and software perspectives. This could lead to not only extremely adaptive, evolve-able and scalable robotic systems, but robot organisms also able to reprogram themselves without human supervision and new, previously unforeseen, functionality to emerge. This book introduces new concepts for symbiotic robot organisms and reports on experience of researching and developing such systems. In the long term it is intended tl“+
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