Scientific challenges and present capabilities in underwater robotic vehicle design and navigation for oceanographic exploration under-ice

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Date
2020-08-11
Authors
Barker, Laughlin D. L.
Jakuba, Michael V.
Bowen, Andrew D.
German, Christopher R.
Maksym, Ted
Mayer, Larry A.
Boetius, Antje
Dutrieux, Pierre
Whitcomb, Louis L.
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DOI
10.3390/rs12162588
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Keywords
Underwater robotic vehicles
Under-ice navigation
Tethered vehicles
Hybrid vehicles
Gliders
Ocean science
Ocean exploration
Abstract
This paper reviews the scientific motivation and challenges, development, and use of underwater robotic vehicles designed for use in ice-covered waters, with special attention paid to the navigation systems employed for under-ice deployments. Scientific needs for routine access under fixed and moving ice by underwater robotic vehicles are reviewed in the contexts of geology and geophysics, biology, sea ice and climate, ice shelves, and seafloor mapping. The challenges of under-ice vehicle design and navigation are summarized. The paper reviews all known under-ice robotic vehicles and their associated navigation systems, categorizing them by vehicle type (tethered, untethered, hybrid, and glider) and by the type of ice they were designed for (fixed glacial or sea ice and moving sea ice).
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© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Barker, L. D. L., Jakuba, M., V., Bowen, A. D., German, C. R., Maksym, T., Mayer, L., Boetius, A., Dutrieux, P., & Whitcomb, L. L. Scientific challenges and present capabilities in underwater robotic vehicle design and navigation for oceanographic exploration under-ice. Remote Sensing, 12(16), (2020): 2588, doi:10.3390/rs12162588.
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Barker, L. D. L., Jakuba, M., V., Bowen, A. D., German, C. R., Maksym, T., Mayer, L., Boetius, A., Dutrieux, P., & Whitcomb, L. L. (2020). Scientific challenges and present capabilities in underwater robotic vehicle design and navigation for oceanographic exploration under-ice. Remote Sensing, 12(16), 2588.
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