Deep reinforcement learning and ant colony optimization supporting multi‐UGV path planning and task assignment in 3D environments
Abstract With the development of artificial intelligence, the application of unmanned ground vehicles (UGV) in outdoor hazardous scenarios has received more attention. However, the terrains in these environments are often complex and undulating, which also pose higher challenges to the multi‐UGV pat...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-09-01
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Series: | IET Intelligent Transport Systems |
Subjects: | |
Online Access: | https://doi.org/10.1049/itr2.12535 |