• DocumentCode
    584243
  • Title

    Self-Stabilizing Robot Team Formation with Proto: IEEE Self-Adaptive and Self-Organizing Systems 2012 Demo Entry

  • Author

    Beal, Jacob ; Cleveland, Jeffrey ; Usbeck, Kyle

  • Author_Institution
    Raytheon BBN Technol., Cambridge, MA, USA
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    233
  • Lastpage
    234
  • Abstract
    We have used the Proto spatial computing language to create teaming algorithms based on random chain formation. Our algorithms are self-stabilizing, scale easily from less than ten robots to thousands of robots, and are highly robust against dynamic changes in perception and communication, arena size, teaming goals, adding and removing robots, and even mobility dimension. In this paper, we describe our approach, give details on our algorithms and their self-* properties, and present simulations validating the algorithms.
  • Keywords
    adaptive systems; control engineering computing; mobile robots; multi-robot systems; self-adjusting systems; stability; Proto spatial computing language; arena size; random chain formation; self-adaptive systems; self-organizing systems; self-stabilizing robot team formation; teaming algorithms; Heuristic algorithms; Indexes; Resilience; Robot kinematics; Scalability; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2012 IEEE Sixth International Conference on
  • Conference_Location
    Lyon
  • ISSN
    1949-3673
  • Print_ISBN
    978-1-4673-3126-5
  • Type

    conf

  • DOI
    10.1109/SASO.2012.43
  • Filename
    6394136