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

Bibliographic Details
Main Author: Santos, Adriano A.
Publication Date: 2024
Other Authors: Schreurs, Cas, Silva, António Ferreira da, Pereira, Filipe, Felgueiras, Carlos, Lopes, António M., Machado, José
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/29424
Summary: n 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.
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spelling Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic SystemArtificial visionCameraCobotImage processingObject detectionUR3e collaborative robotn 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.SpringerREPOSITÓRIO P.PORTOSantos, Adriano A.Schreurs, CasSilva, António Ferreira daPereira, FilipeFelgueiras, CarlosLopes, António M.Machado, José2025-02-07T15:43:49Z20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/29424eng0921-029610.1007/s10846-024-02195-zinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:32:32Zoai:recipp.ipp.pt:10400.22/29424Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:00:28.879989Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
title Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
spellingShingle Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
Santos, Adriano A.
Artificial vision
Camera
Cobot
Image processing
Object detection
UR3e collaborative robot
title_short Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
title_full Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
title_fullStr Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
title_full_unstemmed Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
title_sort Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System
author Santos, Adriano A.
author_facet Santos, Adriano A.
Schreurs, Cas
Silva, António Ferreira da
Pereira, Filipe
Felgueiras, Carlos
Lopes, António M.
Machado, José
author_role author
author2 Schreurs, Cas
Silva, António Ferreira da
Pereira, Filipe
Felgueiras, Carlos
Lopes, António M.
Machado, José
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Santos, Adriano A.
Schreurs, Cas
Silva, António Ferreira da
Pereira, Filipe
Felgueiras, Carlos
Lopes, António M.
Machado, José
dc.subject.por.fl_str_mv Artificial vision
Camera
Cobot
Image processing
Object detection
UR3e collaborative robot
topic Artificial vision
Camera
Cobot
Image processing
Object detection
UR3e collaborative robot
description n 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.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
2025-02-07T15:43:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/29424
url http://hdl.handle.net/10400.22/29424
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0921-0296
10.1007/s10846-024-02195-z
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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