Multi-agent mission planning is critical for operating unmanned aerial vehicles (UAV)s or drones. We proposed the Markov Decision Process (MDP) formulation of multi-agent mission planning. Using the MDP formulation can make persistent mission planning with refueling constraints. The state space of MDP formulation consists of agents’ locations and the uncertainty. In order to avoid an enormous computation, refueling constraint is excluded for a state space of the MDP formulation. We experimented with the validity of our proposed formulation in two cases.


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    Titel :

    MDP Formulation for Multi-UAVs Mission Planning with Refueling Constraints


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Jo, Jun (Herausgeber:in) / Choi, Han-Lim (Herausgeber:in) / Helbig, Marde (Herausgeber:in) / Oh, Hyondong (Herausgeber:in) / Hwangbo, Jemin (Herausgeber:in) / Lee, Chang-Hun (Herausgeber:in) / Stantic, Bela (Herausgeber:in) / Ryu, Seung-Keol (Autor:in) / Jeong, Byeong-Min (Autor:in) / Choi, Han-Lim (Autor:in)

    Kongress:

    International Conference on Robot Intelligence Technology and Applications ; 2022 ; Daejeon, Korea (Republic of) December 07, 2022 - December 09, 2022



    Erscheinungsdatum :

    2023-03-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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