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dc.contributor.advisorSkourup, Charlottenb_NO
dc.contributor.authorMutuzo, Eva Léonienb_NO
dc.date.accessioned2014-12-19T14:01:24Z
dc.date.available2014-12-19T14:01:24Z
dc.date.created2010-09-02nb_NO
dc.date.issued2010nb_NO
dc.identifier347216nb_NO
dc.identifierntnudaim:4524nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/259574
dc.description.abstractBy incorporating advanced technologies such as information processing, inte- grated operations and human-robot interaction, for the past couple of years, the Norwegian Continental Shelf s oil and gas companies have been working on development of marginal and new robotized oil and gas production fields. These will increase production and reduce the number of incidents related to health, safety and environment, and thus create greater value. Considering some selected teleoperation-relevant oil and gas inspection, maintenance and operational tasks of existing fields, and focusing on function allocation theory, I propose (1) low and high bounds degrees of automation, and (2) a detailed taxonomy of levels of information acquisition and analysis which could be applicable to tasks requiring continuous remote environment s perception, recognition, and supervisory control.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for teknisk kybernetikknb_NO
dc.subjectntnudaimno_NO
dc.subjectSIE3 teknisk kybernetikkno_NO
dc.subjectReguleringsteknikkno_NO
dc.titleHuman-Robot Interaction in Future Oil and Gas Installations: Automatic Generation of Function Allocationnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber134nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for teknisk kybernetikknb_NO


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