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dc.contributor.authorKhatib, Oussama
dc.contributor.authorYeh, Xiyang
dc.contributor.authorBrantner, Gerald
dc.contributor.authorSoe, Brian
dc.contributor.authorKim, Boyeon
dc.contributor.authorGanguly, Shameek
dc.contributor.authorStuart, Hannah
dc.contributor.authorWang, Shiquan
dc.contributor.authorCutkosky, Mark
dc.contributor.authorEdsinger, Aaron
dc.contributor.authorMullins, Phillip
dc.contributor.authorBarham, Mitchell
dc.contributor.authorVoolstra, Christian R.
dc.contributor.authorSalama, Khaled N.
dc.contributor.authorL'Hour, Michel
dc.contributor.authorCreuze, Vincent
dc.date.accessioned2017-01-29T06:14:45Z
dc.date.available2017-01-29T06:14:45Z
dc.date.issued2016-11-11
dc.identifier.citationKhatib 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.
dc.identifier.issn1070-9932
dc.identifier.doi10.1109/MRA.2016.2613281
dc.identifier.urihttp://hdl.handle.net/10754/622744
dc.description.abstractThe 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.
dc.description.sponsorshipWe 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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7742315/
dc.rights(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleOcean One: A Robotic Avatar for Oceanic Discovery
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalIEEE Robotics & Automation Magazine
dc.eprint.versionPost-print
dc.contributor.institutionStanford Robotics Lab, Department of Computer Science, Stanford University, California
dc.contributor.institutionBiomimetic and Dexterous Manipulation Lab, Department of Mechanical Engineering, Stanford University, California
dc.contributor.institutionMeka Robotics, San Francisco, California
dc.contributor.institutionDépartement des Recherches Archéologiques Subaquatiques et Sous-Marines, Ministry of Culture, France
dc.contributor.institutionLaboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier, Centre National de la Recherche Scientifique–University of Montpellier, France.
kaust.personVoolstra, Christian R.
kaust.personSalama, Khaled N.
refterms.dateFOA2018-06-13T16:50:30Z


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