PAIR: A Hybrid A^* with PPO Path Planner for Multi-UAV Navigation in 2-D Dynamic Urban MEC Environments

Emerging multi-unmanned aerial vehicle (multi-UAV) applications in smart cities must navigate cluttered airspace while meeting tight mobile edge computing (MEC) deadlines. Classical grid planners, including A-star (A*), D-star Lite (D* Lite), and conflict-based search with D-star Lite (CBS-D*) and m...

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Principais autores:	Bahaa Hussein Taher, Juan Luo, Ying Qiao, Hussein Ridha Sayegh
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-01-01
Series:	Drones
Assuntos:	multi-UAV path planning dynamic obstacle avoidance hybrid A*–PPO algorithm mobile edge computing (MEC) reinforcement learning decentralized UAV navigation
Acceso en liña:	https://www.mdpi.com/2504-446X/10/1/58
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