Multi-UAV Autonomous Path Planning in Reconnaissance Missions Considering Incomplete Information: A Reinforcement Learning Method

Multi-UAV Autonomous Path Planning in Reconnaissance Missions Considering Incomplete Information: A Reinforcement Learning Method

Unmanned aerial vehicles (UAVs) are important in reconnaissance missions because of their flexibility and convenience. Vitally, UAVs are capable of autonomous navigation, which means they can be used to plan safe paths to target positions in dangerous surroundings. Traditional path-planning algorith...

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Bibliographic Details
Main Authors: Yu Chen, Qi Dong, Xiaozhou Shang, Zhenyu Wu, Jinyu Wang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Drones
Subjects:
multi-UAV
path planning
incomplete information
multi-objective
reinforcement learning
Online Access:https://www.mdpi.com/2504-446X/7/1/10

Internet

https://www.mdpi.com/2504-446X/7/1/10

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