This paper addresses the motion planning problemfor a team of aerial agents under high level goals. We propose a hybrid control strategy that guarantees the accomplishmentof each agent’s local goal specification, which is given as a temporal logic formula, while guaranteeing inter-agent collision avoidance. In particular, by defining 3-D spheres that bound the agents’ volume, we extend previous work on decentralized navigation functions and propose control laws that navigate the agents among predefined regions of interest of the workspace while avoiding collision with each other. This allows us to abstract the motion of the agents as finite transition systems and, by employing standard formal verification techniques,to derive a high-level control algorithm that satisfies the agents’ specifications. Simulation and experimental results with quadrotors verify the validity of the proposed method. ; QC 20170801


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    Title :

    Decentralized Motion Planning with Collision Avoidance for a Team of UAVs under High Level Goals


    Contributors:

    Publication date :

    2017-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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