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dc.contributor.authorMason, Alex
dc.contributor.authorRomanov, Dmytro
dc.contributor.authorCordova-Lopez, Luis Eduardo
dc.contributor.authorKorostynska, Olga
dc.date.accessioned2023-03-27T08:37:14Z
dc.date.available2023-03-27T08:37:14Z
dc.date.created2022-12-15T14:23:37Z
dc.date.issued2022
dc.identifier.citationIEEE Sensors Journal. 2022, 22 (21), 20475-20483.
dc.identifier.issn1530-437X
dc.identifier.urihttps://hdl.handle.net/11250/3060502
dc.description.abstractAutomation is a key technology for a sustainable and secure meat sector in the future, both in terms of productivity and work environment. New robotic technologies, such as the so-called “meat factory cell,” (MFC) aim to contribute to this goal, but they require new “smart” tools that provide sensor feedback, which enable robots to perform complex tasks. This article presents one such tool: the smart knife, which gives real-time feedback on its contact status with meat, as well as cutting depth. The tool and the system are described, and its operation evidenced via electromagnetic (EM) simulation using the Ansys High-Frequency Structure Simulator. Furthermore, the performance of the knife is validated using pork loin meat: in the worst case, knife is shown to have an error of 1.78% for contact detection, and a mean error of 7.66 mm (±1.45 mm) for depth detection. This article also presents brief discussion regarding eventual use of the knife as part of the MFC control system, in addition to future work to be performed.
dc.language.isoeng
dc.titleSmart Knife: Integrated Intelligence for Robotic Meat Cutting
dc.title.alternativeSmart Knife: Integrated Intelligence for Robotic Meat Cutting
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber20475-20483
dc.source.volume22
dc.source.journalIEEE Sensors Journal
dc.source.issue21
dc.identifier.doi10.1109/JSEN.2022.3208667
dc.identifier.cristin2093839
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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