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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    Title :

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


    Contributors:


    Publication date :

    2012-04-01


    Size :

    1525445 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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