Exoscarne: Assistive Strategies for an Industrial Meat Cutting System Based on Physical Human-Robot Interaction

dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Informacióngl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Electrónica e Computacióngl
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorMaithani, Harsh
dc.contributor.authorCorrales Ramón, Juan Antonio
dc.contributor.authorLequievre, Laurent
dc.contributor.authorMezouar, Youcef
dc.contributor.authorAlric, Matthieu
dc.date.accessioned2021-08-12T12:28:29Z
dc.date.available2021-08-12T12:28:29Z
dc.date.issued2021
dc.description.abstractMusculoskeletal disorders of the wrist are common in the meat industry. A proof of concept of a physical human-robot interaction (pHRI)-based assistive strategy for an industrial meat cutting system is demonstrated which can be transferred to an exoskeleton later. We discuss how a robot can assist a human in pHRI, specifically in the context of an industrial project i.e for the meat cutting industry. We developed an impedance control-based system that enables a KUKA LWR robot to provide assistive forces to a professional butcher while simultaneously allowing motion of the knife (tool) in all degrees of freedom. We developed two assistive strategies—a force amplification strategy and an intent prediction strategy—and integrated them into an impedance controllergl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis research received funding from the French government research program Investissements d‘Avenir through the UMTs ACTIA Mécarnéo-AgRobErgo and the project Exoscarne (Call P3A-ICF2A-2I2A, FranceAgriMer) and from the European Union’s Horizon 2020 research and innovation programme under grant agreement nº 869855 (SoftManBot project)gl
dc.identifier.citationAppl. Sci. 2021, 11(9), 3907; https://doi.org/10.3390/app11093907gl
dc.identifier.doi10.3390/app11093907
dc.identifier.essn2076-3417
dc.identifier.urihttp://hdl.handle.net/10347/26795
dc.language.isoenggl
dc.publisherMDPIgl
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/869855gl
dc.relation.publisherversionhttps://doi.org/10.3390/app11093907gl
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPhysical human-robot interactiongl
dc.subjectAssistive roboticsgl
dc.subjectCollaborative robotsgl
dc.titleExoscarne: Assistive Strategies for an Industrial Meat Cutting System Based on Physical Human-Robot Interactiongl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublicationf345e68d-cbfd-4f64-ae0b-ec609872c25f
relation.isAuthorOfPublication.latestForDiscoveryf345e68d-cbfd-4f64-ae0b-ec609872c25f

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