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Human-Robot Interaction Force based Power Assistive Algorithm of Upper Limb Exoskeleton Robots Driven by a Series Elastic Actuator
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dc.contributor.author Lee, Deokjin -
dc.contributor.author Choi, Kiyoung -
dc.contributor.author Yun, Wonbum -
dc.contributor.author Oh, Sehoon -
dc.date.accessioned 2023-12-26T18:12:41Z -
dc.date.available 2023-12-26T18:12:41Z -
dc.date.created 2022-12-30 -
dc.date.issued 2022-10-19 -
dc.identifier.isbn 9781665480253 -
dc.identifier.issn 2577-1647 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46807 -
dc.description.abstract Upper limb exoskeleton robots have been widely used to assist humans in industry and rehabilitation. Human-robot interaction control consists of two modes. A compliant mode and an assistive mode. The compliant mode is manipulating the robot compliantly according to the movement of the human. At this time, the human must not receive impedance from the robot. Therefore, in this paper, a novel external force control which makes the robot follow human movement without causing resistance is proposed. The assistive mode is to generate assistive power according to human intention. In this paper, the algorithm for recognizing the human intention for primitive movement and generating assistive forces adaptive to real-time work environments is proposed. The proposed two modes are also integrated into a novel human-robot interaction control framework. The performance of the proposed methods is verified through experiments. © 2022 IEEE. -
dc.language English -
dc.publisher IEEE Industrial Electronics Society -
dc.title Human-Robot Interaction Force based Power Assistive Algorithm of Upper Limb Exoskeleton Robots Driven by a Series Elastic Actuator -
dc.type Conference Paper -
dc.identifier.doi 10.1109/IECON49645.2022.9968363 -
dc.identifier.scopusid 2-s2.0-85143908723 -
dc.identifier.bibliographicCitation Lee, Deokjin. (2022-10-19). Human-Robot Interaction Force based Power Assistive Algorithm of Upper Limb Exoskeleton Robots Driven by a Series Elastic Actuator. 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022. doi: 10.1109/IECON49645.2022.9968363 -
dc.identifier.url https://iecon2022.org/conference-program/ -
dc.citation.conferencePlace BE -
dc.citation.conferencePlace Brussels -
dc.citation.title 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 -
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오세훈
Oh, Sehoon오세훈

Department of Robotics and Mechatronics Engineering

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