UAV Formation Path Planning Based on Reinforcement Learning and Improved Artificial Potential Field

Aiming at problems of low planning efficiency and path oscillatory encountered in 3D UAV formation path planning using traditional artificial potential field (APF) methods, this paper proposes a collaborative path planning strategy integrating deep reinforcement learning with improved APF. Firstly,...

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Detalles Bibliográficos

Autor Principal:	Zhao Tianlong, Chen Longsheng, Zhang Cunfu, Xu Bei
Formato:	Artigo
Idioma:	Chinês
Publicado:	Editorial Office of Aero Weaponry 2025-10-01
Series:	Hangkong bingqi
Assuntos:	|uav formation|path planning|path oscillatory|deep reinforcement learning|artificial potential field method|adaptive parameter
Acceso en liña:	https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2025-0075.pdf
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