A Study on Autonomous Control of Underwater Manipulator Autonomous Operation Based on Deep Reinforcement Learning

A Study on Autonomous Control of Underwater Manipulator Autonomous Operation Based on Deep Reinforcement Learning

Owing to the inherent complexities of underwater environments, coupled with restrictive observational angles, the precise operation of an underwater manipulator during autonomous tasks is a sizable undertaking. To tackle this issue, this paper proposes a method for autonomous control of an underwate...

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Bibliographic Details
Main Authors: LI Xinyang, LU Nibin, LYU Shiwei, LIU Hairui
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2023-12-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
underwater manipulator
reinforcement learning
reward shaping
autonomous operation
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.06.007
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