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dc.contributor.authorCho, K-
dc.contributor.authorKim, M-
dc.contributor.authorSong, JB-
dc.date.accessioned2024-01-21T09:05:22Z-
dc.date.available2024-01-21T09:05:22Z-
dc.date.created2022-01-25-
dc.date.issued2003-04-
dc.identifier.issn0921-0296-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/138659-
dc.description.abstractA pick-and-place operation in a 3-dimensional environment is a basic operation for humans and multi-purpose manipulators. However, there may be a difficult problem for such manipulators. Especially, if the object cannot be moved with a single grasp, regrasping, which can be a time-consuming process, should be carried out. Regrasping, given initial and final poses of the target object, is a construction of sequential transition of object poses that are compatible with two poses in the point of grasp configuration. This paper presents a novel approach for solving the regrasp problem. The approach consists of a preprocessing and a planning stage. Preprocessing, which is done only once for a given robot, generates a look-up table which has information on kinematically feasible task space of the end-effector throughout the entire workspace. Then, using this table, the planning automatically determines a possible intermediate location, pose and regrasp sequence leading from the pick-up to put-down grasp. With a redundant robot, it is shown experimentally that the presented method is complete in the entire workspace and can be implemented in real-time applications due to rapid regrasp planning time. The regrasp planner was combined with an existing path.-
dc.languageEnglish-
dc.publisherSPRINGER-
dc.titleComplete and rapid regrasp planning with look-up table-
dc.typeArticle-
dc.identifier.doi10.1023/A:1023690101296-
dc.description.journalClass1-
dc.identifier.bibliographicCitationJOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, v.36, no.4, pp.371 - 387-
dc.citation.titleJOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS-
dc.citation.volume36-
dc.citation.number4-
dc.citation.startPage371-
dc.citation.endPage387-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000182607500002-
dc.identifier.scopusid2-s2.0-0038475837-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaRobotics-
dc.type.docTypeArticle-
dc.subject.keywordPlusMANIPULATION-
dc.subject.keywordAuthorgrasp planning-
dc.subject.keywordAuthorregrasping-
dc.subject.keywordAuthormanipulation planning-
dc.subject.keywordAuthormotion planning-
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KIST Article > 2003
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