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A real framework to apply collaborative robots in upper limb rehabilitation

dc.contributor.authorFernandes, Lucas de Azevedo
dc.contributor.authorBrito, Thadeu
dc.contributor.authorPiardi, Luis
dc.contributor.authorLima, José
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2023-03-15T14:41:36Z
dc.date.available2023-03-15T14:41:36Z
dc.date.issued2020
dc.description.abstractRehabilitation is an important recovery process from dysfunctions that improves the patient’s activities of daily living. On the other hand, collaborative robotic applications, where humans and machines can share the same space, are increasing once it allows splitting a task between the accuracy of a robot and the ability and flexibility of a human. This paper describes an innovative approach that uses a collaborative robot to support the rehabilitation of the upper limb of patients, complemented by an intelligent system that learns and adapts its behaviour according to the patient’s performance during the therapy. This intelligent system implements the reinforcement learning algorithm, which makes the system robust and independent of the path of motion. The validation of the proposed approach uses a UR3 collaborative robot training in a real environment. The main control is the resistance force that the robot is able to do against the movement performed by the human arm.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFernandes, Lucas; Brito, Thadeu; Piardi, Luis; Lima, José; Leitão, Paulo (2020). A real framework to apply collaborative robots in upper limb rehabilitation. In 13th International Conference on Biomedical Electronics and Devices, BIODEVICES 2020. Vallettapt_PT
dc.identifier.doi10.5220/0009004501760183pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27744
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherScitepresspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRobotics rehabilitationpt_PT
dc.subjectCollaborative robotspt_PT
dc.subjectReinforcement learningpt_PT
dc.subjectHuman–robot Interactionpt_PT
dc.titleA real framework to apply collaborative robots in upper limb rehabilitationpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceVallettapt_PT
oaire.citation.endPage183pt_PT
oaire.citation.startPage176pt_PT
oaire.citation.title13th International Conference on Biomedical Electronics and Devices, BIODEVICES 2020pt_PT
person.familyNameBrito
person.familyNamePiardi
person.familyNameLima
person.familyNameLeitão
person.givenNameThadeu
person.givenNameLuís
person.givenNameJosé
person.givenNamePaulo
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifierA-8390-2011
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-idC51A-82DB-016F
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0003-1627-8210
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id35584388900
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery643e9664-ec9b-4b2f-b93c-6f3f8335fd61

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