• DocumentCode
    2959311
  • Title

    Towards Self-Healing Swarm Robotic Systems Inspired by Granuloma Formation

  • Author

    Ismail, Amelia Ritahani ; Timmis, Jon

  • Author_Institution
    Dept. of Comput. Sci., Univ. of York, York, UK
  • fYear
    2010
  • fDate
    22-26 March 2010
  • Firstpage
    313
  • Lastpage
    314
  • Abstract
    Granuloma is a medical term for a ball-like collection of immune cells that attempts to remove foreign substances from a host organism. This response is a special type of inflammatory reaction common to a wide variety of diseases. Granulomas are an organised collection of macrophages, whose formation involves the stimulation of macrophages as well as T-Cells. Fault tolerance in swarm robotic systems is essential to the continued operation of swarm robotic systems. Under certain conditions, a failing robot can have a detrimental effect on the overall swarm behaviour, causing stagnation in the swarm and affecting its ability to undertake its task. Our study is concerned specifically with modelling the trafficking of macrophages and T-cells in the development of granuloma formation, and using that as a basis to create a self-healing swarm robotic system, in the context of power system failure.
  • Keywords
    artificial immune systems; failure analysis; fault tolerant computing; multi-robot systems; self-adjusting systems; T-cell traffic; fault tolerance; foreign substance removal; granuloma formation; host organism; immune cell ball-like collection; inflammatory reaction; macrophage collection; macrophage traffic; power system failure; robot failure; self-healing swarm robotic system; swarm behaviour; swarm stagnation; Adaptation model; Computational modeling; Context; Immune system; Robots; Robustness; granuloma formation; swarm robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-1-4244-6638-2
  • Electronic_ISBN
    978-1-4244-6639-9
  • Type

    conf

  • DOI
    10.1109/ICECCS.2010.63
  • Filename
    5628592