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dc.contributor.authorLee, Yisoo-
dc.contributor.authorLee, Hosang-
dc.contributor.authorLee, Jinoh-
dc.contributor.authorPark, Jaeheung-
dc.date.accessioned2024-01-19T12:31:04Z-
dc.date.available2024-01-19T12:31:04Z-
dc.date.created2022-01-10-
dc.date.issued2022-04-
dc.identifier.issn1552-3098-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/115505-
dc.description.abstractReactivity to unforeseen disturbances is one of the most crucial characteristics for biped robots to walk robustly in the real world. Nevertheless, conventional walking methods generally have limited capability for generating rapid reactions to disturbances, because in these methods it is necessary to wait until the end of the preplanned time period to proceed to the next phase. In this study, to improve reactivity, we develop an event-based finite-state machine (E-FSM) for walking pattern generation. Reactivity is enhanced by determining the state transition conditions of the E-FSM only with time-independent events based on the present robot state. Moreover, in the E-FSM, the robot can walk robustly even when the center of mass and the swing foot motion are disturbed, by employing the capture point concept combined with a new swing foot position constraint. Finally, we propose to control the walking robot by incorporating the E-FSM with an inverse dynamics-based motion/force controller to achieve compliant behavior. This can provide safe responses to external disturbances. The developed method is verified by experiments on a 12-degrees-of-freedom torque-controlled biped robot while it locomotes under irregular external disturbances applied to the upper body or swing leg.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.titleToward Reactive Walking: Control of Biped Robots Exploiting an Event-Based FSM-
dc.typeArticle-
dc.identifier.doi10.1109/TRO.2021.3088062-
dc.description.journalClass1-
dc.identifier.bibliographicCitationIEEE Transactions on Robotics, v.38, no.2, pp.683 - 698-
dc.citation.titleIEEE Transactions on Robotics-
dc.citation.volume38-
dc.citation.number2-
dc.citation.startPage683-
dc.citation.endPage698-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000732139900001-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.relation.journalResearchAreaRobotics-
dc.type.docTypeArticle; Early Access-
dc.subject.keywordPlusCAPTURABILITY-BASED ANALYSIS-
dc.subject.keywordPlusLEGGED LOCOMOTION-
dc.subject.keywordPlusMOTION GENERATION-
dc.subject.keywordPlusBODY CONTROL-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusTORQUE-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordAuthorLegged locomotion-
dc.subject.keywordAuthorRobots-
dc.subject.keywordAuthorFoot-
dc.subject.keywordAuthorRobot kinematics-
dc.subject.keywordAuthorSynchronization-
dc.subject.keywordAuthorTime factors-
dc.subject.keywordAuthorTask analysis-
dc.subject.keywordAuthorHumanoid and bipedal locomotion-
dc.subject.keywordAuthorhumanoid robots-
dc.subject.keywordAuthorlegged robots-
dc.subject.keywordAuthorrobot walking-
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KIST Article > 2022
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