• DocumentCode
    1934543
  • Title

    Modeling collaborative robots for detecting intrusions

  • Author

    Liang, Xiannuan ; Xiao, Yang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL
  • fYear
    2009
  • fDate
    18-22 May 2009
  • Firstpage
    306
  • Lastpage
    313
  • Abstract
    In this paper, we study collaborative robots for detecting intrusions using game theory. We consider the coalition formation in a group of three robots which detect and capture intrusions in a closed curve loop. In our analysis model, individuals seek alliances/collaboration if they think their detect regions/lengths are too short to gain an intrusion capturing probability larger enough on their own. We allow coalition seeking to carry an investment cost (c) and let outcomes of parities to be determined by the formation of coalition, with the detect length of a coalition simply to be the sum of those of separate coalition members.
  • Keywords
    closed loop systems; collision avoidance; game theory; mobile robots; multi-robot systems; object detection; closed curve loop; coalition formation; collaborative robot; game theory; intrusion detection; probability; Animals; Collaboration; Collaborative work; Costs; Game theory; Intelligent robots; Intelligent sensors; Investments; Mobile robots; Robot sensing systems; Coalition; Collaboration; Evolutionarily stable strategy; Game theory; Mobile Sensor; Robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Technologies and Systems, 2009. CTS '09. International Symposium on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4244-4584-4
  • Electronic_ISBN
    978-1-4244-4586-8
  • Type

    conf

  • DOI
    10.1109/CTS.2009.5067495
  • Filename
    5067495