Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism

  • Raja Humza Qadir

Part of the Adaptation, Learning, and Optimization book series (ALO, volume 17)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Raja Humza Qadir
    Pages 1-6
  3. Raja Humza Qadir
    Pages 7-39
  4. Raja Humza Qadir
    Pages 41-58
  5. Raja Humza Qadir
    Pages 59-86
  6. Raja Humza Qadir
    Pages 87-136
  7. Raja Humza Qadir
    Pages 137-140
  8. Back Matter
    Pages 141-154

About this book


This book describes how the principle of self-sufficiency can be applied to a reconfigurable modular robotic organism. It shows the design considerations for a novel REPLICATOR robotic platform, both hardware and software, featuring the behavioral characteristics of social insect colonies. Following a comprehensive overview of some of the bio-inspired techniques already available, and of the state-of-the-art in re-configurable modular robotic systems, the book presents a novel power management system with fault-tolerant energy sharing, as well as its implementation in the REPLICATOR robotic modules. In addition, the book discusses, for the first time, the concept of “artificial energy homeostasis” in the context of a modular robotic organism, and shows its verification on a custom-designed simulation framework in different dynamic power distribution and fault tolerance scenarios. This book offers an ideal reference guide for both hardware engineers and software developers involved in the design and implementation of autonomous robotic systems.


Artificial Energy Homeostasis Bio-inspired Techniques Dynamic Power Management Energetic Autonomy Energy Sharing Fault Tolerance Robotic Module's Platform Design Self-Sufficiency Swarm Behavior

Authors and affiliations

  • Raja Humza Qadir
    • 1
  1. 1.dSPACE GmbHPaderbornGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-10288-7
  • Online ISBN 978-3-319-10289-4
  • Series Print ISSN 1867-4534
  • Series Online ISSN 1867-4542
  • Buy this book on publisher's site
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