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Akademický článek

Three-Dimensional Path-Following Control of an Autonomous Underwater Vehicle Based on Deep Reinforcement Learning

Autor: Liang Zhenyu, Qu Xingru, Zhang Zhao, Chen Cong

Publikováno v: Polish Maritime Research, Vol 29, Iss 4, Pp 36-44 (2022)

In this article, a deep reinforcement learning based three-dimensional path following control approach is proposed for an underactuated autonomous underwater vehicle (AUV). To be specific, kinematic control laws are employed by using the three-dimens

Externí odkaz: https://doaj.org/article/378d6a31fec2451896c4ca28863b0046

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Akademický článek

Navigation Situation Assessment of Autonomous Surface Vehicles in a Cooperative Hunting Environment

Autor: Zhang Wenjun, Wang Fuqiang, Gao Qiqiang, Qu Xingru

Publikováno v: Polish Maritime Research, Vol 29, Iss 2, Pp 19-26 (2022)

This paper proposes a navigation situation assessment method for autonomous surface vehicles (ASVs) in a cooperative hunting environment. By virtue of the repulsion function expressed in the artificial potential field, the navigation situation of hun

Externí odkaz: https://doaj.org/article/1a75d9123c7a4190b0ae1d01d55f1cd5

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