Uncrewed aircraft systems (UASs) are being increasingly adopted for a variety of applications. The risk UAS poses to people and property must be kept to acceptable levels. This paper proposes risk-aware contingency management autonomy to prevent an accident in the event of component malfunction, specifically propulsion unit failure and/or battery degradation. The proposed autonomy is modeled as a Markov decision process (MDP), whose solution is a contingency management policy that appropriately executes emergency landing, flight termination, or continuation of planned flight actions. Motivated by the potential for errors in fault/failure indicators, the partial observability of the MDP state space is investigated. The performance of optimal policies is analyzed over varying observability conditions in a high-fidelity simulator. Results indicate that both partially observable MDP and maximum a posteriori MDP policies had similar performance over different state observability criteria, given the nearly deterministic state transition model.


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    Titel :

    Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems


    Beteiligte:
    Sharma, Prashin (Autor:in) / Kraske, Benjamin (Autor:in) / Kim, Joseph (Autor:in) / Laouar, Zakariya (Autor:in) / Sunberg, Zachary (Autor:in) / Atkins, Ella (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.03.2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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