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Wang Y, Hu R, Huang SH, Wang Z, Du P, Yang W, Chen Y. Passive Inverted Ultra-Short Baseline Positioning for a Disc-Shaped Autonomous Underwater Vehicle: Design and Field Experiments. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3178494] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
| | - Ruoyu Hu
- Ocean College, Zhejiang University, Zhoushan, China
| | - S. H. Huang
- Ocean College, Zhejiang University, Zhoushan, China
| | - Zhikun Wang
- Ocean College, Zhejiang University, Zhoushan, China
| | - Peizhou Du
- Ocean College, Zhejiang University, Zhoushan, China
| | | | - Ying Chen
- Ocean College, Zhejiang University, Zhoushan, China
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Matsuda T, Fujita K, Hamamatsu Y, Sakamaki T, Maki T. Parent–child‐based navigation method of multiple autonomous underwater vehicles for an underwater self‐completed survey. J FIELD ROBOT 2021. [DOI: 10.1002/rob.22038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Takumi Matsuda
- School of Science and Technology Meiji University Kanagawa Japan
- Institute of Industrial Science The University of Tokyo Tokyo Japan
| | - Kenichi Fujita
- Institute of Industrial Science The University of Tokyo Tokyo Japan
| | - Yuya Hamamatsu
- Institute of Industrial Science The University of Tokyo Tokyo Japan
| | - Takashi Sakamaki
- Institute of Industrial Science The University of Tokyo Tokyo Japan
| | - Toshihiro Maki
- Institute of Industrial Science The University of Tokyo Tokyo Japan
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ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2020. [DOI: 10.3390/jmse8090633] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological approach for prolonged underwater autonomous operations of seabed survey activities, either in the deep ocean or in coastal areas. The proposed approach combines a hybrid Autonomous Underwater Vehicle capable of moving using either thrusters or as a sea glider, combined with an Unmanned Surface Vehicle equipped with satellite communication facilities for interaction with a land station. Both vehicles are equipped with energy packs that combine hydrogen fuel cells and Li-ion batteries to provide extended duration of the survey operations. The Unmanned Surface Vehicle employs photovoltaic panels to increase the autonomy of the vehicle. Since these missions generate a large amount of data, both vehicles are equipped with onboard Central Processing units capable of executing data analysis and compression algorithms for the semantic classification and transmission of the acquired data.
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Deformable tensegrity structure underwater robot with a transformation mechanism. ARTIFICIAL LIFE AND ROBOTICS 2019. [DOI: 10.1007/s10015-019-00563-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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