Work

Simultaneous Depth and Heading Control for Autonomous Underwater Vehicle Docking Maneuvers Using Deep Reinforcement Learning within a Digital Twin System

Year: 2025

Type: article

Abstract: This study proposes an automatic control system for Autonomous Underwater Vehicle (AUV) docking, utilizing a digital twin (DT) environment based on the HoloOcean platform, which integrates six-degree-of-freedom (6-DOF) motion... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.065995

Authors: Yu-Hsien Lin, Po-Cheng Chuang, Joyce Yi-Tzu Huang

Institution: National Cheng Kung University

Language: English

Topic: Underwater Vehicles and Communication Systems

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: National Cheng Kung University, National Science and Technology Council

Award: G1871220115