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Seatonomy applied in operational analysis of an autonomous net cleaning robot - NetClean 24/7 report for work package H1.1: Operational analysis and overall system design

dc.contributor.authorOhrem, Sveinung Johan
dc.contributor.authorKelasidi, Eleni
dc.contributor.authorBloecher, Nina
dc.date.accessioned2022-11-11T06:53:30Z
dc.date.available2022-11-11T06:53:30Z
dc.date.created2022-10-31T12:48:27Z
dc.date.issued2022-09-23
dc.identifier.urihttps://hdl.handle.net/11250/3031294
dc.description.abstractThis report presents an analysis of the autonomous cleaning operations handled in the NetClean 24/7 project. The analysis was conducted using the Autonomous Job Analysis (AJA) concept introduced in the Seatonomy method. This includes the identification of the autonomous capabilities that a tetherless cleaning robot needs to conduct simultaneous net cleaning and inspection, as well as system design requirements and specifications related to equipment, sensors, actuators, architecture, error management and safe modes.en_US
dc.description.abstractSeatonomy applied in operational analysis of an autonomous net cleaning robot - NetClean 24/7 report for work package H1.1: Operational analysis and overall system designen_US
dc.language.isoengen_US
dc.publisherSINTEF Ocean ASen_US
dc.relation.ispartofseriesSINTEF rapport;2022:01107 A
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectAquacultureen_US
dc.subjectAutonomyen_US
dc.subjectRoboticsen_US
dc.titleSeatonomy applied in operational analysis of an autonomous net cleaning robot - NetClean 24/7 report for work package H1.1: Operational analysis and overall system designen_US
dc.title.alternativeSeatonomy applied in operational analysis of an autonomous net cleaning robot - NetClean 24/7 report for work package H1.1: Operational analysis and overall system designen_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 SINTEF Ocean ASen_US
dc.source.pagenumber57en_US
dc.identifier.cristin2066773
dc.relation.projectNorges forskningsråd: 296392en_US
cristin.ispublishedtrue
cristin.fulltextoriginal


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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