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  • Chemical plume tracing  (1)
  • Gliders  (1)
  • 1
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2010. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in Autonomous Robots 29 (2010): 67-83, doi:10.1007/s10514-010-9187-y.
    Description: In this paper we address the problem of localizing active hydrothermal vents on the seafloor using an Autonomous Underwater Vehicle (AUV). The plumes emitted by hydrothermal vents are the result of thermal and chemical inputs from submarine hot spring systems into the overlying ocean. The Woods Hole Oceanographic Institution's Autonomous Benthic Explorer (ABE) AUV has successfully localized previously undiscovered hydrothermal vent fields in several recent vent prospecting expeditions. These expeditions utilized the AUV for a three-stage, nested survey strategy approach (German et al., 2008). Each stage consists of a survey flown at successively deeper depths through easier to detect but spatially more constrained vent fluids. Ideally this sequence of surveys culminates in photographic evidence of the vent fields themselves. In this work we introduce a new adaptive strategy for an AUV's movement during the first, highest-altitude survey: the AUV initially moves along pre-designed tracklines but certain conditions can trigger an adaptive movement that is likely to acquire additional high value data for vent localization. The trigger threshold is changed during the mission, adapting the method to the different survey profiles the robot may find. The proposed algorithm is vetted on data from previous ABE missions and measures of efficiency presented.
    Keywords: AUV ; Adaptive survey ; Hydrothermal vents prospecting ; Chemical plume tracing
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
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  • 2
    Publication Date: 2022-10-20
    Description: © 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.
    Description: 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).
    Description: Barker and Whitcomb gratefully acknowledge the support of the National Science Foundation under Award 1319667 and 1909182, and support of the first author under a Graduate Fellowship from the Johns Hopkins Department of Mechanical Engineering. Jakuba, Bowen, and German gratefully acknowledge the support of the National Aeronautics and Space Administration under Planetary Science and Technology through Analog Research (PSTAR) award NNX16AL04G. Maksym was supported by National Science Foundation Award CMMI-1839063. Dutrieux was supported by his Center for Climate and Life Fellowship from the Earth Institute of Columbia University. Boetius acknowledges funding from the Helmholtz Association for the FRAM infrastructure, and from her ERC Adv. Grant ABYSS (294757). Mayer’s work is supported by NOAA Grant NA15NOS4000200.
    Keywords: Underwater robotic vehicles ; Under-ice navigation ; Tethered vehicles ; Hybrid vehicles ; Gliders ; Ocean science ; Ocean exploration
    Repository Name: Woods Hole Open Access Server
    Type: Article
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