Methods and apparatus are provided for allocating tasks to be performed by one or more autonomous vehicles to achieve a mission objective. Generally, a task allocation system identifies a final task associated with a given mission objective, identifies predecessor tasks necessary to complete the final task, generates one or more candidate tasks sequences to accomplish the mission objective, generates a task allocation tree based on the candidate task sequences, and searches the task allocation tree to find a task allocation plan that meets a predetermined selection criteria (e.g., lowest cost). Based on the task allocation plan, the task allocation system determines a task execution plan and generates control data for controlling one or more autonomous vehicles to complete the task execution plan.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Task allocation for vehicles


    Beteiligte:

    Erscheinungsdatum :

    10.01.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B64C AEROPLANES , Flugzeuge / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



    Task Allocation for Vehicles

    SAUNDERS JEFFERY | Europäisches Patentamt | 2021

    Freier Zugriff

    Task allocation of aerial vehicles

    GUPTA MANISH / KAPU VEERA RAGHAVA REDDY / SINGH HAMENDER et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    TASK ALLOCATION OF AERIAL VEHICLES

    GUPTA MANISH / KAPU VEERA RAGHAVA REDDY / SINGH HAMENDER et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Cooperative Task Allocation for Heterogeneous Unmanned Delivery Vehicles

    Han, Honggui / Zhang, Yabin / Huang, Yanting | Springer Verlag | 2024


    Task Allocation of Swarm Unmanned Aerial Vehicles: A Survey

    Zhou, Yimin / Qin, Tao | Springer Verlag | 2025