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Push-Recovery Stability of Biped Locomotion

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dc.contributor.authorLee, Yoonsang-
dc.contributor.authorLee, Kyungho-
dc.contributor.authorKwon, Soon-Sun-
dc.contributor.authorJeong, Jiwon-
dc.contributor.authorO'Sullivan, Carol-
dc.contributor.authorPark, Moon Seok-
dc.contributor.authorLee, Jehee-
dc.date.accessioned2022-07-15T20:12:15Z-
dc.date.available2022-07-15T20:12:15Z-
dc.date.created2021-05-13-
dc.date.issued2015-11-
dc.identifier.issn0730-0301-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155873-
dc.description.abstractBiped controller design pursues two fundamental goals; simulated walking should look human-like and robust against perturbation while maintaining its balance. Normal gait is a pattern of walking that humans normally adopt in undisturbed situations. It has previously been postulated that normal gait is more energy efficient than abnormal or impaired gaits. However, it is not clear whether normal gait is also superior to abnormal gait patterns with respect to other factors, such as stability. Understanding the correlation between gait and stability is an important aspect of biped controller design. We studied this issue in two sets of experiments with human participants and a simulated biped. The experiments evaluated the degree of resilience to external pushes for various gait patterns. We identified four gait factors that affect the balance-recovery capabilities of both human and simulated walking. We found that crouch gait is significantly more stable than normal gait against lateral push. Walking speed and the timing/magnitude of disturbance also affect gait stability. Our work would provide a potential way to compare the performance of biped controllers by normalizing their output gaits and improve their performance by adjusting these decisive factors.-
dc.language영어-
dc.language.isoen-
dc.publisherASSOC COMPUTING MACHINERY-
dc.titlePush-Recovery Stability of Biped Locomotion-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Yoonsang-
dc.identifier.doi10.1145/2816795.2818124-
dc.identifier.scopusid2-s2.0-84995777316-
dc.identifier.wosid000363671200017-
dc.identifier.bibliographicCitationACM TRANSACTIONS ON GRAPHICS, v.34, no.6, pp.180 - 180-
dc.relation.isPartOfACM TRANSACTIONS ON GRAPHICS-
dc.citation.titleACM TRANSACTIONS ON GRAPHICS-
dc.citation.volume34-
dc.citation.number6-
dc.citation.startPage180-
dc.citation.endPage180-
dc.type.rimsART-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordPlusBalancing Biped locomotion-
dc.subject.keywordPlusControllers-
dc.subject.keywordPlusConvergence of numerical methods-
dc.subject.keywordPlusEnergy efficiency-
dc.subject.keywordPlusGait analysis-
dc.subject.keywordAuthorBalance-
dc.subject.keywordAuthorBiped locomotion-
dc.subject.keywordAuthorControl and simulation-
dc.subject.keywordAuthorGait analysis-
dc.subject.keywordAuthorStability-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/2816795.2818124-
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