The last few decades have seen the emergence of autonomous actors for various uses on the battlefield. New methods to safely and efficiently guide these actors have therefore been developed. This paper considers a complete military scenario involving autonomous actors cooperating with artillery systems. Then, focusing on the path planning and task allocation aspects, a brief review and classification of available methods is given in order to select the most promising ones for our case study. Based on existing works, these chosen methods include the Voronoi diagram, the satisficing paradigm, the Simulated Annealing algorithm and the k-means method. Combinations of these methods in four different approaches are implemented and compared to assess which one shows the best ratio between computation time and flying time to complete a mission.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Task Allocation and Path Planning for Collaborative Swarm Guidance in Support of Artillery Mission


    Contributors:
    Pinon, N. (author) / Strub, G. (author) / Changey, S. (author) / Basset, M. (author)


    Publication date :

    2022-06-21


    Size :

    1374720 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Mission Planning and Task Allocation Framework For Multi-UAV Swarm Coordination

    Autenrieb, Johannes / Strawa, Natalia / Shin, Hyo-Sang et al. | IEEE | 2019


    Critical Technologies for UAV Swarm Collaborative Mission Planning

    Yu, Sun / Ranran, Yin / Nan, Li | Springer Verlag | 2024




    Collaborative Reconnaissance Mission Planning Considering Task Overlap and Obstacle Avoidance

    Tao, Cancan / Zha, Li / She, Wanqiang et al. | Springer Verlag | 2025