Autonomous Underwater Vehicle Docking Under Realistic Assumptions Using Deep Reinforcement Learning

被引：0
|
作者：
Palomeras, Narcís [1 ]
Ridao, Pere [1 ]
机构：
[1] Computer Vision and Robotics Institute, Universitat de Girona (UdG), Girona,17003, Spain
来源：
Drones | 2024年 / 8卷 / 11期
关键词：
D O I：
10.3390/drones8110673
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Docking Control of an Autonomous Underwater Vehicle Using Reinforcement Learning
    Anderlini, Enrico
    Parker, Gordon G.
    Thomas, Giles
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (17):
  • [2] Detection of Markers Using Deep Learning for Docking of Autonomous Underwater Vehicle
    Yahya, M. F.
    Arshad, M. R.
    [J]. 2017 IEEE 2ND INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS), 2017, : 179 - 184
  • [3] The docking control system of an autonomous underwater vehicle combining intelligent object recognition and deep reinforcement learning
    Yu, Chao-Ming
    Lin, Yu-Hsien
    [J]. Engineering Applications of Artificial Intelligence, 2025, 139
  • [4] Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
    Zhang, Qilei
    Lin, Jinying
    Sha, Qixin
    He, Bo
    Li, Guangliang
    [J]. IEEE ACCESS, 2020, 8 : 24258 - 24268
  • [5] Deep Reinforcement Learning for Vectored Thruster Autonomous Underwater Vehicle Control
    Liu, Tao
    Hu, Yuli
    Xu, Hui
    [J]. COMPLEXITY, 2021, 2021
  • [6] Deep reinforcement learning for adaptive path planning and control of an autonomous underwater vehicle
    Hadi, Behnaz
    Khosravi, Alireza
    Sarhadi, Pouria
    [J]. APPLIED OCEAN RESEARCH, 2022, 129
  • [7] Dynamic Target Tracking of Autonomous Underwater Vehicle Based on Deep Reinforcement Learning
    Shi, Jiaxiang
    Fang, Jianer
    Zhang, Qizhong
    Wu, Qiuxuan
    Zhang, Botao
    Gao, Farong
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (10)
  • [8] Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
    Patil, Mihir
    Wehbe, Bilal
    Valdenegro-Toro, Matias
    [J]. OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [9] Development of an intelligent underwater recognition system based on the deep reinforcement learning algorithm in an autonomous underwater vehicle
    Lin, Yu-Hsien
    Wu, Tsung-Lin
    Yu, Chao -Ming
    Wu, I. -Chen
    [J]. MEASUREMENT, 2023, 214
  • [10] Deep Reinforcement Learning Based Optimal Trajectory Tracking Control of Autonomous Underwater Vehicle
    Yu, Runsheng
    Shi, Zhenyu
    Huang, Chaoxing
    Li, Tenglong
    Ma, Qiongxiong
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 4958 - 4965
12345