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dc.contributor.authorSverdrup-Thygeson, Jørgen
dc.contributor.authorKelasidi, Eleni
dc.contributor.authorPettersen, Kristin Ytterstad
dc.contributor.authorGravdahl, Jan Tommy
dc.date.accessioned2019-02-18T14:44:49Z
dc.date.available2019-02-18T14:44:49Z
dc.date.created2019-01-15T23:46:16Z
dc.date.issued2018
dc.identifier.citationIEEE Journal of Oceanic Engineering. 2018, 43 (2), 402-417.nb_NO
dc.identifier.issn0364-9059
dc.identifier.urihttp://hdl.handle.net/11250/2586047
dc.description.abstractUnderwater vehicles have carried out subsea operations for many decades, and since the 1980s, remotely operated vehicles (ROVs) have been essential for the development and maintenance of subsea installations. As the technology has progressed, various types of vehicles have been developed to perform subsea inspection, maintenance, and repair (IMR) operations, including conventional work class ROVs, inspection class ROVs, autonomous underwater vehicles (AUVs), and, more recently, intervention AUVs. The underwater swimming manipulator (USM), presented in this paper, is an innovative bioinspired addition to the family of underwater robotic vehicles. The overall vision of the USM is to provide a significant impact on how to perform inspection and light intervention tasks. In this paper, we discuss the most important applications for the USM and the main challenges related to modeling, guidance, and control of this innovative vehicle. We provide a detailed description of the concept of the USM, together with a proposed generic motion control framework. A kinematic and dynamic model of the USM is derived for the purpose of designing control algorithms, and selected task-based control approaches are presented, based on inverse kinematic control. We also present the development of a simulation environment, a simulation model of the USM, and provide simulations to support the use of USMs for subsea IMR operations.nb_NO
dc.language.isoengnb_NO
dc.titleThe Underwater Swimming Manipulator — A Bioinspired Solution for Subsea Operationsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber402-417nb_NO
dc.source.volume43nb_NO
dc.source.journalIEEE Journal of Oceanic Engineeringnb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.1109/JOE.2017.2768108
dc.identifier.cristin1657763
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. The final authenticated version is available online at: http://dx.doi.org/ 10.1109/JOE.2017.2768108nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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