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dc.contributor.authorSung-wook, Lee-
dc.contributor.authorKim Hobin-
dc.contributor.authorJung Pyeong-Gook-
dc.contributor.authorOh, Sang-Rok-
dc.contributor.authorLee, Jong won-
dc.date.accessioned2024-01-12T03:45:42Z-
dc.date.available2024-01-12T03:45:42Z-
dc.date.created2022-09-15-
dc.date.issued2021-06-13-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/77382-
dc.description.abstractThis paper presents kinematics-based methodologies for performance comparison and optimization of humanmotion compatible multi-DOF hip assistant robot. In our simulation, we compared the workspace and the manipulability between two different joint configurations capable of driving flexion-extension and abduction-adduction of hip motion. In contrast to the conventional multi-DOF active hip joint configuration, where the abduction-adduction motion is driven rear to the hip, followed by the driver in flexion-extension motion to side of the thigh (AA(fixed)-FE joint), the FE-AA(offset) joint configuration we propose, has the active component to drive flexion-extension followed by the active component driving abduction-adduction. The projected surface areas for workspace of the contact point is 25% and 245% higher than that of conventional one in transverse and frontal plane, respectively. In addition, the manipulability index of the hip flexion angle near 90° of the proposed configuration has results 10 times better than the conventional one without imposing a singularity problem.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleActive Joint Configuration Analysis of Multi-DOF Hip Exoskeleton for Dynamic Gaits and Balancing-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation2021 18th International Conference on Ubiquitous Robots (UR)-
dc.citation.title2021 18th International Conference on Ubiquitous Robots (UR)-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceGangneung-si, Gangwon-do, Korea-
dc.citation.conferenceDate2021-06-12-
dc.relation.isPartOfInternational Conference on Ubiquitous Robots (UR) Proceeding-
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KIST Conference Paper > 2021
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