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    Intruder Capturing Game on a Topological Map Assisted by Information Networks

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    egerstedt_IEEE_2011.006.pdf (194.7Kb)
    Date
    2011-12
    Author
    Kim, Jonghoek
    Maxon, Sean
    Egerstedt, Magnus B.
    Zhang, Fumin
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    Abstract
    Intruder capturing games on a topological map of a workspace with obstacles are investigated. Assuming that a searcher can access the position of any intruder utilizing information networks, we provide theoretical upper bounds for the minimum number of searchers required to capture all intruders on a Voronoi graph. Intruder capturing algorithms are proposed and demonstrated through an online computer game.
    URI
    http://hdl.handle.net/1853/42398
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    • Georgia Robotics and InTelligent Systems Laboratory (GRITS) [230]
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