AUV Obstacle Avoidance Planning Based on Deep Reinforcement Learning

In a complex underwater environment, finding a viable, collision-free path for an autonomous underwater vehicle (AUV) is a challenging task. The purpose of this paper is to establish a safe, real-time, and robust method of collision avoidance that improves the autonomy of AUVs. We propose a method b...

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Bibliographic Details
Main Authors: Jianya Yuan, Hongjian Wang, Honghan Zhang, Changjian Lin, Dan Yu, Chengfeng Li
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
Online Access:https://doaj.org/article/aa4f8fea66634cbb8579ebfc57708835
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