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Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System

2024Journal article Open access
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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorSantos, Adriano A.
dc.contributor.authorSchreurs, Cas
dc.contributor.authorSilva, António Ferreira da
dc.contributor.authorPereira, Filipe
dc.contributor.authorFelgueiras, Carlos
dc.contributor.authorLopes, António M.
dc.contributor.authorMachado, José
dc.date.accessioned2025-02-07T15:43:49Z
dc.date.available2025-02-07T15:43:49Z
dc.date.issued2024
dc.description.abstractn the field of robotics, pick and place applications are becoming increasingly popular due to their ability to automate repetitive tasks that can create temporary or permanent injuries. To enhance the efficiency of these applications, object recognition using a fixed camera or one mounted on a robotic hand has been employed. This paper explores the possibilities of implementing a low-cost camera into a collaborative robotic system. A software architecture has been developed, including modules for perception, pick and place, and part transfer. A comprehensive overview of various intuitive drag-and-drop image processing technologies and their suitability for object recognition in a robotic context is provided. The challenges related to lighting and the effect of shadows in object recognition are discussed. A critical assessment is made of the architecture development platform as well as the study and the results are performed, and the effectiveness of the proposed solution based on the Niop architecture is verified.eng
dc.identifier.citationSantos, A.A., Schreurs, C., da Silva, A.F. et al. Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System. J Intell Robot Syst 110, 159 (2024). https://doi.org/10.1007/s10846-024-02195-z
dc.identifier.doi10.1007/s10846-024-02195-z
dc.identifier.issn0921-0296
dc.identifier.urihttp://hdl.handle.net/10400.22/29424
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.relationCenter for Innovation in Industrial Engineering and Technology
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s10846-024-02195-z#article-info
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial vision
dc.subjectCamera
dc.subjectCobot
dc.subjectImage processing
dc.subjectObject detection
dc.subjectUR3e collaborative robot
dc.titleIntegration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic Systemeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardTitleCenter for Innovation in Industrial Engineering and Technology
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50022%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04730%2F2020/PT
oaire.citation.titleJournal of Intelligent & Robotic Systems
oaire.citation.volume110
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isProjectOfPublication80741b9a-280d-4972-b352-8d1375fbfb3b
relation.isProjectOfPublicationcdbfce2f-6ff0-4d59-a7c6-96c99d52a570
relation.isProjectOfPublication.latestForDiscovery80741b9a-280d-4972-b352-8d1375fbfb3b

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