Multi-UAV simultaneous target assignment and path planning based on deep reinforcement learning in dynamic multiple obstacles environments

Multi-UAV simultaneous target assignment and path planning based on deep reinforcement learning in dynamic multiple obstacles environments

Target assignment and path planning are crucial for the cooperativity of multiple unmanned aerial vehicles (UAV) systems. However, it is a challenge considering the dynamics of environments and the partial observability of UAVs. In this article, the problem of multi-UAV target assignment and path pl...

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Bibliographic Details
Main Authors: Xiaoran Kong, Yatong Zhou, Zhe Li, Shaohai Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Neurorobotics
Subjects:
multiple unmanned aerial vehicles
target assignment
path planning
deep reinforcement learning
partially observable Markov decision process
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2023.1302898/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2023.1302898/full

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