PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers

Using underwater robots instead of humans for the inspection of coastal piers can enhance efficiency while reducing risks. A key challenge in performing these tasks lies in achieving efficient and rapid path planning within complex environments. Sampling-based path planning methods, such as Rapidly-...

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Bibliographic Details

Published in:	IEEE transactions on automation science and engineering Vol. 22; pp. 15941 - 15952
Main Authors:	Wang, Pengyu, Lin, Hin Wang, Li, Jialu, Wang, Jiankun, Shi, Ling, Meng, Max Q.-H.
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Autonomous underwater vehicles Heuristic algorithms Inspection Neural network Neural networks Oceans Path planning Planning Robots Safety sampling-based algorithm Sea measurements underwater vehicle
ISSN:	1545-5955, 1558-3783
Online Access:	Get full text
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