With the development of intelligent technology, the research of robots has expanded from the industrial field to military applications such as aerospace, and some environments are not suitable for human participation, such as mine exploration, cave rescue, which requires robots to complete various tasks autonomously in these unknown environments. The use of UAV instead of humans to explore unknown environments can exempt people from the threat of unknown environments, and is a hot research field in the future of civil military UAV technology. Efficient environment exploration is the premise and key for UAV to establish environment models and complete various complex tasks, and the collaborative execution of multi-UAVs has obvious advantages over a single UAV, but the formulation and selection of multi-UAVs environment exploration strategies will be more difficult. Based on the application background of multi-UAVs collaborative exploration of unknown environment, this paper studies the exploration method of multi-UAVs in unknown environment, and adopts ant colony algorithm to solve the problem of target allocation and area coverage of multi-UAVs.


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    Titel :

    Research on Multi-UAVs Exploration Method for Unknown Environment


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Long, Shengzhao (Herausgeber:in) / Dhillon, Balbir S. (Herausgeber:in) / Su, Jian (Autor:in) / Li, Xing (Autor:in) / Zhang, Pengyi (Autor:in) / Huang, Baiqiao (Autor:in)

    Kongress:

    International Conference on Man-Machine-Environment System Engineering ; 2023 ; Beijing, China October 20, 2023 - October 23, 2023



    Erscheinungsdatum :

    05.09.2023


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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