Autonomous Control Laws for Mobile Robotic Surveillance Swarms

Robert Mullen, Dorothy Monekosso, Sarah Barman, Remagnino Paolo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.
    LanguageEnglish
    Title of host publicationUnknown Host Publication
    Pages1-6
    Number of pages6
    Publication statusPublished - 18 Dec 2009
    EventIEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA) - Ottawa, Canada
    Duration: 18 Dec 2009 → …

    Conference

    ConferenceIEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA)
    Period18/12/09 → …

    Fingerprint

    Unmanned aerial vehicles (UAV)
    Learning algorithms
    Robotics
    Physics

    Cite this

    Mullen, R., Monekosso, D., Barman, S., & Paolo, R. (2009). Autonomous Control Laws for Mobile Robotic Surveillance Swarms. In Unknown Host Publication (pp. 1-6)
    Mullen, Robert ; Monekosso, Dorothy ; Barman, Sarah ; Paolo, Remagnino. / Autonomous Control Laws for Mobile Robotic Surveillance Swarms. Unknown Host Publication. 2009. pp. 1-6
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    title = "Autonomous Control Laws for Mobile Robotic Surveillance Swarms",
    abstract = "We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.",
    author = "Robert Mullen and Dorothy Monekosso and Sarah Barman and Remagnino Paolo",
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    Mullen, R, Monekosso, D, Barman, S & Paolo, R 2009, Autonomous Control Laws for Mobile Robotic Surveillance Swarms. in Unknown Host Publication. pp. 1-6, IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA), 18/12/09.

    Autonomous Control Laws for Mobile Robotic Surveillance Swarms. / Mullen, Robert; Monekosso, Dorothy; Barman, Sarah; Paolo, Remagnino.

    Unknown Host Publication. 2009. p. 1-6.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Monekosso, Dorothy

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    AU - Paolo, Remagnino

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    AB - We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.

    M3 - Conference contribution

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    Mullen R, Monekosso D, Barman S, Paolo R. Autonomous Control Laws for Mobile Robotic Surveillance Swarms. In Unknown Host Publication. 2009. p. 1-6