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Impact modeling of sawing tasks and experimental verification using a parallel robot

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dc.contributor.authorSo, Byung rok-
dc.contributor.authorLee, Jae hoon-
dc.contributor.authorYi, Byung ju-
dc.contributor.authorHan, Seok young-
dc.contributor.authorKim, Seon jung-
dc.date.accessioned2021-06-23T22:37:47Z-
dc.date.available2021-06-23T22:37:47Z-
dc.date.created2021-02-01-
dc.date.issued2006-12-
dc.identifier.issn1013-9826-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/45317-
dc.description.abstractThe amount of the external impulse exerted on the object being sawn has been treated one of important control parameters. At the same time, the internal impulses experienced in the joints should be taken into account to avoid serious damage or injury at the joints of robot. This paper discusses the impulse models in a straight sawing task. And, a motion planning algorithm is proposed, which employs the external and internal impulses as performance indices. For this, the gradient projection method is employed to exploit the kinematic redundancy of the robot structure. Finally, through both simulation and experimentation for the sawing task, the effectiveness of the proposed motion planning algorithm could be verified.-
dc.language영어-
dc.language.isoen-
dc.publisherTrans Tech Publications Ltd.-
dc.titleImpact modeling of sawing tasks and experimental verification using a parallel robot-
dc.typeArticle-
dc.contributor.affiliatedAuthorYi, Byung ju-
dc.identifier.doi10.4028/www.scientific.net/KEM.326-328.1535-
dc.identifier.scopusid2-s2.0-33751506997-
dc.identifier.wosid000243448201154-
dc.identifier.bibliographicCitationKey Engineering Materials, v.326, no.Issue 1, pp.1535 - 1538-
dc.relation.isPartOfKey Engineering Materials-
dc.citation.titleKey Engineering Materials-
dc.citation.volume326-
dc.citation.numberIssue 1-
dc.citation.startPage1535-
dc.citation.endPage1538-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Ceramics-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMaterials Science, Characterization & Testing-
dc.relation.journalWebOfScienceCategoryMaterials Science, Composites-
dc.subject.keywordPlusAlgorithms-
dc.subject.keywordPlusImpact testing-
dc.subject.keywordPlusMathematical models-
dc.subject.keywordPlusMotion planning-
dc.subject.keywordPlusInternal impulses-
dc.subject.keywordPlusKinematic redundancy-
dc.subject.keywordPlusRobot structure-
dc.subject.keywordPlusSawing-
dc.subject.keywordAuthorImpact-
dc.subject.keywordAuthorKinematic redundancy-
dc.subject.keywordAuthorMotion planning-
dc.subject.keywordAuthorSawing-
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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