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Machine vision to empower an intelligent personal assistant for assembly tasks

2021Conference paper Open access
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dc.contributor.authorTalacio, Matheus Teixeira
dc.contributor.authorFunchal, Gustavo Silva
dc.contributor.authorMelo, Victória
dc.contributor.authorPiardi, Luis
dc.contributor.authorVallim, Marcos
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2022-01-13T14:18:43Z
dc.date.available2022-01-13T14:18:43Z
dc.date.issued2021
dc.description.abstractIn the context of the fourth industrial revolution, the integration of human operators in emergent cyber-physical systems assumes a crucial relevance. In this context, humans and machines can not be considered in an isolated manner but instead regarded as a collaborative and symbiotic team. Methodologies based on the use of intelligent assistants that guide human operators during the execution of their operations, taking advantage of user friendly interfaces, artificial intelligence (AI) and virtual reality (VR) technologies, become an interesting approach to industrial systems. This is particularly helpful in the execution of customised and/or complex assembly and maintenance operations. This paper presents the development of an intelligent personal assistant that empowers operators to perform faster and more cost-effectively their assembly operations. The developed approach considers ICT technologies, and particularly machine vision and image processing, to guide operators during the execution of their tasks, and particularly to verify the correctness of performed operations, contributing to increase productivity and efficiency, mainly in the assembly of complex products.pt_PT
dc.description.sponsorshipThis work has been supported by FCT- Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTalacio, Matheus; Funchal, Gustavo; Melo, Victória; Piardi, Luis; Vallim, Marcos; Leitão, Paulo (2021). Machine vision to empower an intelligent personal assistant for assembly tasks. In 1st International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021. p. 447-462. ISBN 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_33pt_PT
dc.identifier.isbn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/24623
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAssemblypt_PT
dc.subjectEmbedded systemspt_PT
dc.subjectVirtual realitypt_PT
dc.titleMachine vision to empower an intelligent personal assistant for assembly taskspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage462pt_PT
oaire.citation.startPage447pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFunchal
person.familyNameMelo
person.familyNamePiardi
person.familyNameLeitão
person.givenNameGustavo Silva
person.givenNameVictória
person.givenNameLuís
person.givenNamePaulo
person.identifierhttps://scholar.google.com/citations?user=eegfgI4AAAAJ&hl=pt-PT&oi=ao
person.identifierhttps://scholar.google.com/citations?user=2JvgMH4AAAAJ&hl=pt-PT
person.identifierA-8390-2011
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person.identifier.ciencia-id6214-95F1-0036
person.identifier.ciencia-idC51A-82DB-016F
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-9691-9956
person.identifier.orcid0000-0003-0025-8055
person.identifier.orcid0000-0003-1627-8210
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id57216637887
person.identifier.scopus-author-id57216635456
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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