Multi-UAV path planning for multiple emergency payloads delivery in natural disaster scenarios

Multi-UAV path planning for multiple emergency payloads delivery in natural disaster scenarios

Unmanned aerial vehicles (UAVs) are widely used in situations with uncertain and risky areas lacking network coverage. In natural disasters, timely delivery of first aid supplies is crucial. Current UAVs face risks such as crashing into birds or unexpected structures. Airdrop systems with parachutes...

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Bibliographic Details
Main Authors: Zarina Kutpanova, Mustafa Kadhim, Xu Zheng, Nurkhat Zhakiyev
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:Journal of Electronic Science and Technology
Subjects:
Deep Q-network
First aid delivery
Multi-UAV path planning
Reinforcement learning
Unmanned aerial vehicle (UAV)
Online Access:http://www.sciencedirect.com/science/article/pii/S1674862X25000047
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