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dc.contributor.authorBae, J.-H.-
dc.contributor.authorYang, W.-
dc.contributor.authorKim, D.-
dc.contributor.authorOh, Y.-
dc.contributor.authorYou, B.-J.-
dc.contributor.authorOh, S.-R.-
dc.date.accessioned2024-01-12T06:57:46Z-
dc.date.available2024-01-12T06:57:46Z-
dc.date.created2022-03-07-
dc.date.issued2011-05-
dc.identifier.issn1050-4729-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/80480-
dc.description.abstractIn recent, control approaches for the human-like behavior in the field of service robotics have been attracting considerable attention, since most humans or animals perform various tasks uncomplicatedly. Hence simple control methods based on gaining a physical insight into human reaching movement in redundancy of DOFs have been proposed. In comparison with the conventional approaches, the proposed method tries to control directly robotic systems in task-space with the control signal composed of linear superposition of three terms 1) joint-damping, 2) virtual spring, and 3) virtual damper in task-space. In particular, our work contains a muscle tension effect of a human under the gravity. This give birth to energy efficient natural motions avoiding problems on repeatability of the motion and ill-posedness problems emerged in most of redundant DOF systems. Thus, this paper exhibits expendability of the position control into the orientation control and compliant behavior. It is verified with a real robotic arm that satisfies human-like movements and motion repeatability under kinematic redundancy of joints. ? 2011 IEEE.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleRobotic arm control inspired by human muscle tension effect under the gravity-
dc.typeConference-
dc.identifier.doi10.1109/ICRA.2011.5980304-
dc.description.journalClass1-
dc.identifier.bibliographicCitation2011 IEEE International Conference on Robotics and Automation, ICRA 2011, pp.1404 - 1411-
dc.citation.title2011 IEEE International Conference on Robotics and Automation, ICRA 2011-
dc.citation.startPage1404-
dc.citation.endPage1411-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceShanghai-
dc.citation.conferenceDate2011-05-09-
dc.relation.isPartOfProceedings - IEEE International Conference on Robotics and Automation-
dc.identifier.scopusid2-s2.0-84867858646-
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