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    Ocean One: A Robotic Avatar for Oceanic Discovery

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    Name:
    ocean-one-underwater.pdf
    Size:
    55.12Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Khatib, Oussama
    Yeh, Xiyang
    Brantner, Gerald
    Soe, Brian
    Kim, Boyeon
    Ganguly, Shameek
    Stuart, Hannah
    Wang, Shiquan
    Cutkosky, Mark
    Edsinger, Aaron
    Mullins, Phillip
    Barham, Mitchell
    Voolstra, Christian R. cc
    Salama, Khaled N. cc
    L'Hour, Michel
    Creuze, Vincent
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Marine Science Program
    Red Sea Research Center (RSRC)
    Date
    2016-11-11
    Online Publication Date
    2016-11-11
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/622744
    
    Metadata
    Show full item record
    Abstract
    The promise of oceanic discovery has long intrigued scientists and explorers, whether with the idea of studying underwater ecology and climate change or with the hope of uncovering natural resources and historic secrets buried deep in archaeological sites. This quest to explore the oceans requires skilled human access, yet much of the oceans are inaccessible to human divers; nearly ninetenths of the ocean floor is at 1 km or deeper [1]. Accessing these depths is imperative since factors such as pollution and deep-sea trawling threaten ecology and archaeological sites. While remotely operated vehicles (ROVs) are inadequate for the task, a robotic avatar could go where humans cannot and still embody human intelligence and intentions through immersive interfaces.
    Citation
    Khatib O, Yeh X, Brantner G, Soe B, Kim B, et al. (2016) Ocean One: A Robotic Avatar for Oceanic Discovery. IEEE Robotics & Automation Magazine 23: 20–29. Available: http://dx.doi.org/10.1109/MRA.2016.2613281.
    Sponsors
    We would like to thank all the supporting partners and the students who have contributed so much to the development of Ocean One. The assistance of Harlyn Baker and Samir Menon in the preparation of this manuscript is also gratefully acknowledged. This research was supported in part by a King Abdullah University of Science and Technology/Stanford University AEA Round 3 award and baseline research funds to CRV.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Robotics & Automation Magazine
    DOI
    10.1109/MRA.2016.2613281
    Additional Links
    http://ieeexplore.ieee.org/document/7742315/
    ae974a485f413a2113503eed53cd6c53
    10.1109/MRA.2016.2613281
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Red Sea Research Center (RSRC); Marine Science Program; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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