• DocumentCode
    395183
  • Title

    Synchronized multi-point attack by autonomous reactive vehicles with simple local communication

  • Author

    Lua, Chin A. ; Altenburg, Karl ; Nygard, Kendall E.

  • Author_Institution
    Dept. of Comput. Sci. & Operations Res., North Dakota State Univ., Fargo, ND, USA
  • fYear
    2003
  • fDate
    24-26 April 2003
  • Firstpage
    95
  • Lastpage
    102
  • Abstract
    We present a model consisting of a swarm of unmanned, autonomous flying munitions to conduct a synchronized multi-point attack on a target. The unpiloted air vehicles (UAV) lack global communication or extensive battlefield intelligence, instead, relying on passive short-range sensors and simple, inter-agent communication. The multi-point synchronized attack is successfully demonstrated in a simulated battlefield environment. The simulation results indicate that the reactive, synchronized, multi-point attack is effective, robust and scalable. It is especially well suited for numerous, small, inexpensive, and expendable UAV.
  • Keywords
    aerospace simulation; evolutionary computation; military computing; multi-agent systems; remotely operated vehicles; search problems; UAV; autonomous reactive vehicles; inter-agent communication; passive short-range sensors; simple local communication; simulated battlefield environment; swarm; synchronized multi-point attack; unmanned autonomous flying munitions; unpiloted air vehicles; Communication system control; Global communication; Intelligent sensors; Intelligent vehicles; Mobile robots; Remotely operated vehicles; Robot sensing systems; Synchronization; Unmanned aerial vehicles; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence Symposium, 2003. SIS '03. Proceedings of the 2003 IEEE
  • Print_ISBN
    0-7803-7914-4
  • Type

    conf

  • DOI
    10.1109/SIS.2003.1202253
  • Filename
    1202253