In this letter, we focus on the problem of the movement of aerial robot swarms, and how to achieve coordinated and consistent flight of drone swarms in unfamiliar environments. Inspired by the behavior of biological swarms, a distributed and adaptive swarm flight algorithm is designed by adding a physical model to the starling swarm collaboration algorithm. The algorithm makes the whole cluster have excellent environmental adaptability and cluster scalability by formulating different behaviors of UAVs. And the algorithm of this paper is used to simulate the behavior of UAV swarms to achieve simple goals in a three-dimensional environment. The results show that the algorithm is reliable and effective in UAV swarm control.


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    Title :

    An Optimized Flocking Starling Algorithm for Autonomous Drones


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Fu, Wenxing (editor) / Gu, Mancang (editor) / Niu, Yifeng (editor) / Chen, Fayin (author) / Tang, Yong (author) / Hu, Yiwen (author) / Wang, Tao (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022



    Publication date :

    2023-03-10


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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