ABSTRACT Micro-aerial vehicle (MAV) swarms are an emerging class of mobile sensing systems. Simulation and staged deployment to prototype testbeds are useful in the early stages of large-scale system design, when hardware is unavailable or deployment at scale is impractical. To faithfully represent the problem domain, a MAV swarm simulator must be able to model the key aspects of the sys-tem: actuation, sensing, and communication. We present Simbee-otic, a simulation framework geared toward modeling swarms of MAVs. Simbeeotic enables algorithm development and rapid MAV prototyping through pure simulation and hardware-in-the-loop ex-perimentation. We demonstrate that Simbeeotic provides the appropriate level of fidelity to evaluate prototype systems while maintaining the ability to test at scale.


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    Titel :

    Simbeeotic: A simulator and testbed for micro-aerial vehicle swarm experiments


    Beteiligte:
    Kate, Bryan (Autor:in) / Waterman, Jason (Autor:in) / Dantu, Karthik (Autor:in) / Welsh, Matt (Autor:in)


    Erscheinungsdatum :

    01.04.2012


    Format / Umfang :

    1525445 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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