A novel vision-based method for 3D profile extraction of wire harness in robotized assembly process
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen, T.P. | - |
dc.contributor.author | Yoon, J. | - |
dc.date.accessioned | 2022-07-18T01:32:26Z | - |
dc.date.available | 2022-07-18T01:32:26Z | - |
dc.date.created | 2021-10-25 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.issn | 0278-6125 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/108204 | - |
dc.description.abstract | Automating stages for deformable objects in the production line, in which assembling a wire harness into a predefined position is a complex task owing to the specialized characteristics of the objects. Besides a few automatized systems proposed in the other studies to implement this task under simplified setup conditions, a significant portion of this process remains to be completed manually in industrial environments. To construct an automatic wire harness assembly system, the development of a method that can automatically detect the wire harness profile in a 3D environment and, consequently, guide robot arms to implement assembly tasks is indispensable. Therefore, this study presents an approach that satisfies this requirement, which not only proposes a deep learning-based system to detect the wire profile, but also improves the accuracy of the detected results through a correction method according to the depth values of contiguous areas. The verification of the approach in a robot system that highlights its usefulness and practicality demonstrates the potential of the proposed method to replace people and consequently, reduce labour costs in factory environments. © 2021 | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Elsevier B.V. | - |
dc.title | A novel vision-based method for 3D profile extraction of wire harness in robotized assembly process | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yoon, J. | - |
dc.identifier.doi | 10.1016/j.jmsy.2021.10.003 | - |
dc.identifier.scopusid | 2-s2.0-85116530025 | - |
dc.identifier.wosid | 000710891600001 | - |
dc.identifier.bibliographicCitation | Journal of Manufacturing Systems, v.61, pp.365 - 374 | - |
dc.relation.isPartOf | Journal of Manufacturing Systems | - |
dc.citation.title | Journal of Manufacturing Systems | - |
dc.citation.volume | 61 | - |
dc.citation.startPage | 365 | - |
dc.citation.endPage | 374 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.subject.keywordPlus | Assembly | - |
dc.subject.keywordPlus | Computer vision | - |
dc.subject.keywordPlus | Convolutional neural networks | - |
dc.subject.keywordPlus | Deep learning | - |
dc.subject.keywordPlus | Wages | - |
dc.subject.keywordPlus | Wire | - |
dc.subject.keywordPlus | 3D profile | - |
dc.subject.keywordPlus | Assembly process | - |
dc.subject.keywordPlus | Automation systems | - |
dc.subject.keywordPlus | Convolutional neural network | - |
dc.subject.keywordPlus | Deformable object | - |
dc.subject.keywordPlus | Machine-vision | - |
dc.subject.keywordPlus | Profile extraction | - |
dc.subject.keywordPlus | Vision-based methods | - |
dc.subject.keywordPlus | Wire harness | - |
dc.subject.keywordPlus | Wire harness assembly | - |
dc.subject.keywordPlus | Automation | - |
dc.subject.keywordAuthor | Automation system | - |
dc.subject.keywordAuthor | Convolutional neural network | - |
dc.subject.keywordAuthor | Machine vision | - |
dc.subject.keywordAuthor | Wire harness assembly | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0278612521002089?via%3Dihub | - |
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