SCIENTIA SINICA Informationis, Volume 48, Issue 9: 1152-1164(2018) https://doi.org/10.1360/N112017-00264

Research status of autonomous underwater vehicles in China

More info
  • ReceivedDec 4, 2017
  • AcceptedApr 28, 2018
  • PublishedSep 10, 2018


Recently, the autonomous underwater vehicle (AUV) has become a research hotspot with regard to unmanned underwater vehicles (UUVs). The AUV has been widely used in marine scientific research, marine resource investigations, and marine security assurance. With the support of the state, China has made an important breakthrough in deep-sea AUV technology. AUVs have played an irreplaceable role in various deep-sea resource surveys on a large scale in voyage applications. The paper introduces the research status of foreign AUVs, the development of China's deep-sea AUVs, and prospects the trend of the deep-sea AUV in China.

Funded by



[1] Li Y P, Li S, Zhang A Q. Research status of autonomous & remotely operated vehicle. J Eng Stud, 2016, 8: 217--222. Google Scholar

[2] Ma W F, Hu Z. Current researches and development trend on AUV. Fire Control Command Control, 2008, 33: 10--13. Google Scholar

[3] German C, Yoerger D, Shank T, et al. Hydrothermal exploration by AUV: ABE in the lau basin and south atlantic. In: Proceedings of AGU Fall Meeting Abstracts, San Francisco, 2006. Google Scholar

[4] German C R, Yoerger D R, Jakuba M. Hydrothermal exploration with the autonomous benthic explorer. Deep Sea Res Part I-Ocean Res Pap, 2008, 55: 203-219 CrossRef ADS Google Scholar

[5] Mcphail S D, Pebody M. Autosub-1. A distributed approach to navigation and control of an autonomous underwater vehicle. In: Proceedings of the 7th International Conference on Electronic Engineering in Oceanography, Southampton, 1997. 16--22. Google Scholar

[6] Butler B, den Hertog V. Theseus: a cable-laying AUV. In: Proceedings of OCEANS'93, Victoria, 1993. Google Scholar

[7] SRI International. Underwater mass spectrometer from SRI international successfully integrates with bluefin autonomous underwater vehicle. Sensors, 2013. https://www.edn.com/Pdf/ViewPdf?contentItemId=4425929. Google Scholar

[8] Bondaryk J E. Bluefin autonomous underwater vehicles: programs, systems, and acoustic issues. J Acoust Soc Am, 2004, 115: 2615 CrossRef ADS Google Scholar

[9] Purcell M, Gallo D, Sherrell A, et al. Use of REMUS 6000 AUVs in the search for the Air France Flight 447. In: Proceedings of OCEANS'11 MTS/IEEE KONA, Waikoloa, 2011. Google Scholar

[10] Marthiniussen R, Vestgard K, Klepaker R A, et al. HUGIN-AUV concept and operational experiences to date. In: Proceedings of OCEANS'04 MTS/IEEE Techno-Ocean'04, Kobe, 2004. Google Scholar

[11] Yeo R. Surveying the underside of an Arctic ice ridge using a man-portable GAVIA AUV deployed through the ice. In: Proceedings of OCEANS, Vancouver, 2007. Google Scholar

[12] McPhail S, Furlong M, Huvenne V. Autosub6000: its first deepwater trials and science missions. Underwater Technol, 2009, 28: 91-98 CrossRef Google Scholar

[13] Singh H, Eustice R, Roman C, et al. The SeaBED AUV — a platform for high resolution imaging. In: Proceedings of Unmanned Underwater Vehicle Showcase Conference, Southampton, 2002. Google Scholar

[14] German C R, Yoerger D R, Jakuba M, et al. Hydrothermal exploration by AUV: progress to-date with ABE in the Pacific, Atlantic & Indian Oceans. In: Proceedings of IEEE/OES Autonomous Underwater Vehicles, Woods Hole, 2008. Google Scholar

[15] Yoerger D R, Jakuba M, Bradley A M. Techniques for deep sea near bottom survey using an autonomous underwater vehicle. Int J Robot Res, 2007, 26: 41-54 CrossRef Google Scholar

[16] Yoerger D, Parnellturner R E, Smith D K, et al. Imaging sediments in the deep, rough terrain at the mid-Atlantic ridge using AUV sentry's CHIRP sub-bottom profiler. In: Proceedings of AGU Fall Meeting Abstracts, San Francisco, 2013. Google Scholar

[17] White S M, Mcclinton J T, Sinton J M, et al. Resolving volcanic eruptions: new fine-scale mapping by AUV sentry of Galápagos spreading center 92$^\circ$W and 95$^\circ$W. In: Proceedings of AGU Fall Meeting Abstracts, San Francisco, 2010. Google Scholar

[18] White S M, Lee A J. Hydrothermal chimney distribution from AUV sentry bathymetry and Alvin at the Galapagos spreading center. In: Proceedings of AGU Fall Meeting Abstracts, San Francisco, 2014. Google Scholar

[19] Pontbriand C, Farr N, Hansen J, et al. Wireless data harvesting using the AUV sentry and WHOI optical modem. In: Proceedings of OCEANS, Washington, 2016. Google Scholar

[20] Zhang H W, Hao L, Wang Y H, et al. The general design of a seafloor surveying AUV system. In: Proceedings of OCEANS, San Diego, 2014. Google Scholar

[21] Wang Y Q, Xu C H, Xu H X, et al. An integrated navigation algorithm for AUV based on pseudo-range measurements and error estimation. In: Proceedings of IEEE International Conference on Robotics and Biomimetics, Qingdao, 2017. 1625--1630. Google Scholar

[22] Li S, Tang Y G, Huang Y, et al. Review and prospect for Chinese deep-sea technology and equipment. Bull Chinese Acad Sci, 2016, 31: 1316--1325. Google Scholar

[23] Pan G, Song B W, Huang Q G, et al. Development and key techniques of unmanned undersea system. J Unmanned Undersea Syst, 2017, 25: 44--51. Google Scholar

[24] Nagahashi K. Underwater volcano observation by autonomous underwater vehicle “r2D4". In: Proceedings of OCEANS, Brest, 2005. Google Scholar

[25] Stokey R, Allen B, Austin T. Enabling technologies for REMUS docking: an integral component of an autonomous ocean-sampling network. IEEE J Ocean Eng, 2001, 26: 487-497 CrossRef ADS Google Scholar

[26] Huang G, Trawny N, Mourikis A I, et al. On the consistency of multi-robot cooperative localization. In: Proceedings of Robotics: Science and Systems, Seattle, 2009. 229--253. Google Scholar

[27] Engel R, Kalwa J. Relative positioning of multiple underwater vehicles in the GREX project. In: Proceedings of OCEANS, Bremen, 2009. Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1       京公网安备11010102003388号