Computer vision and fuzzy rules applied to an industrial desktop robot
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/17656 |
Resumo: | Purpose – Desktop robots are suitable for production line systems in industrial applications. Despite their capabilities to meet diverse requirements, they have to be programmed off-line using waypoints and path information. Misalignments in the workspace location during loading cause injuries in the workpiece and tool. Further, in flexible industrial production, machinery must adapt to changing product demands, both to the simultaneous production of different types of workpieces and to product styles with short life cycles. In this paper, visual data processing concepts on the basis of fuzzy logic are applied to enable an industrial desktop robot to raise its flexibility and address these problems that limit the production rate of small industries. Design/methodology/approach – In this paper, a desktop robot performing dispensing tasks is equipped with a computer vision system. Visual information is used to autonomously change previously off-line stored robot programs for known workpieces or to call worker’s attention for unknown/ misclassified workpieces. A fuzzy inference classifier based on a fuzzy grammar, is used to describe/identify workpieces. Fuzzy rules are automatically generated from features extracted from the workpiece under analysis. Findings – Different types of workpieces were tested and a good rate performance, higher than 90 per cent, was achieved. The obtained results illustrate both the flexibility and robustness of the proposed solution as well as its capabilities for good classification of workpieces. Practical implications – The overall system is being implemented in an industrial environment. Originality/value – The paper reports a piece of solid work which indicates clearly that the work is suitable for industrial utilization. |
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Computer vision and fuzzy rules applied to an industrial desktop robotComputersFuzzy controlIndustrial performanceRoboticsScience & TechnologyPurpose – Desktop robots are suitable for production line systems in industrial applications. Despite their capabilities to meet diverse requirements, they have to be programmed off-line using waypoints and path information. Misalignments in the workspace location during loading cause injuries in the workpiece and tool. Further, in flexible industrial production, machinery must adapt to changing product demands, both to the simultaneous production of different types of workpieces and to product styles with short life cycles. In this paper, visual data processing concepts on the basis of fuzzy logic are applied to enable an industrial desktop robot to raise its flexibility and address these problems that limit the production rate of small industries. Design/methodology/approach – In this paper, a desktop robot performing dispensing tasks is equipped with a computer vision system. Visual information is used to autonomously change previously off-line stored robot programs for known workpieces or to call worker’s attention for unknown/ misclassified workpieces. A fuzzy inference classifier based on a fuzzy grammar, is used to describe/identify workpieces. Fuzzy rules are automatically generated from features extracted from the workpiece under analysis. Findings – Different types of workpieces were tested and a good rate performance, higher than 90 per cent, was achieved. The obtained results illustrate both the flexibility and robustness of the proposed solution as well as its capabilities for good classification of workpieces. Practical implications – The overall system is being implemented in an industrial environment. Originality/value – The paper reports a piece of solid work which indicates clearly that the work is suitable for industrial utilization.EmeraldUniversidade do MinhoSantos, Cristina20062006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/17656eng0144-515410.1108/01445150610645675http://www.emeraldinsight.com/journals.htm?issn=0144-5154&volume=26&issue=1info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:28:10Zoai:repositorium.sdum.uminho.pt:1822/17656Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:22:55.788959Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Computer vision and fuzzy rules applied to an industrial desktop robot |
title |
Computer vision and fuzzy rules applied to an industrial desktop robot |
spellingShingle |
Computer vision and fuzzy rules applied to an industrial desktop robot Santos, Cristina Computers Fuzzy control Industrial performance Robotics Science & Technology |
title_short |
Computer vision and fuzzy rules applied to an industrial desktop robot |
title_full |
Computer vision and fuzzy rules applied to an industrial desktop robot |
title_fullStr |
Computer vision and fuzzy rules applied to an industrial desktop robot |
title_full_unstemmed |
Computer vision and fuzzy rules applied to an industrial desktop robot |
title_sort |
Computer vision and fuzzy rules applied to an industrial desktop robot |
author |
Santos, Cristina |
author_facet |
Santos, Cristina |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Santos, Cristina |
dc.subject.por.fl_str_mv |
Computers Fuzzy control Industrial performance Robotics Science & Technology |
topic |
Computers Fuzzy control Industrial performance Robotics Science & Technology |
description |
Purpose – Desktop robots are suitable for production line systems in industrial applications. Despite their capabilities to meet diverse requirements, they have to be programmed off-line using waypoints and path information. Misalignments in the workspace location during loading cause injuries in the workpiece and tool. Further, in flexible industrial production, machinery must adapt to changing product demands, both to the simultaneous production of different types of workpieces and to product styles with short life cycles. In this paper, visual data processing concepts on the basis of fuzzy logic are applied to enable an industrial desktop robot to raise its flexibility and address these problems that limit the production rate of small industries. Design/methodology/approach – In this paper, a desktop robot performing dispensing tasks is equipped with a computer vision system. Visual information is used to autonomously change previously off-line stored robot programs for known workpieces or to call worker’s attention for unknown/ misclassified workpieces. A fuzzy inference classifier based on a fuzzy grammar, is used to describe/identify workpieces. Fuzzy rules are automatically generated from features extracted from the workpiece under analysis. Findings – Different types of workpieces were tested and a good rate performance, higher than 90 per cent, was achieved. The obtained results illustrate both the flexibility and robustness of the proposed solution as well as its capabilities for good classification of workpieces. Practical implications – The overall system is being implemented in an industrial environment. Originality/value – The paper reports a piece of solid work which indicates clearly that the work is suitable for industrial utilization. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006 2006-01-01T00:00:00Z |
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/1822/17656 |
url |
http://hdl.handle.net/1822/17656 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0144-5154 10.1108/01445150610645675 http://www.emeraldinsight.com/journals.htm?issn=0144-5154&volume=26&issue=1 |
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 |
Emerald |
publisher.none.fl_str_mv |
Emerald |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132702033575936 |