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dc.contributor.authorCho, Jungsoo-
dc.contributor.authorYim, Sehyuk-
dc.date.accessioned2024-09-19T02:00:36Z-
dc.date.available2024-09-19T02:00:36Z-
dc.date.created2024-09-19-
dc.date.issued2024-06-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/150628-
dc.description.abstractThis paper focuses on implementing Spinova, a drum stroke often discovered when drummers hit a drum over a large distance in a limited amount of time, by minimizing wrist displacement. In order to execute the minimization at the right time, a triggering condition is introduced by appropriately quantifying the drum distance and stroke time length. The method is implemented on MOFFETT, a drumming humanoid platform capable of autonomous drumming based on a given drum score. Finally, the impact of Spinova on energy consumption and reaction torque on shoulder is analyzed.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleMinimizing Wrist Displacement for Drum Stroke Spinova of Humanoid-
dc.typeConference-
dc.identifier.doi10.1109/UR61395.2024.10597457-
dc.description.journalClass1-
dc.identifier.bibliographicCitation21st International Conference on Ubiquitous Robots (UR), pp.624 - 628-
dc.citation.title21st International Conference on Ubiquitous Robots (UR)-
dc.citation.startPage624-
dc.citation.endPage628-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceNew York, NY-
dc.citation.conferenceDate2024-06-24-
dc.relation.isPartOf2024 21ST INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS, UR 2024-
dc.identifier.wosid001283831100020-
dc.identifier.scopusid2-s2.0-85200705671-
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KIST Conference Paper > 2024
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