Sim-To-Real Transfer Learning Approach for Tracking Multi-DOF Ankle Motions Using Soft Strain Sensors

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dc.contributor.authorPARK, HYUN KYUko
dc.contributor.authorKim, Jungko
dc.contributor.authorCho, Junhwiko
dc.contributor.authorPARK, JUNGHOONko
dc.contributor.authorNa, Yeongjinko
dc.date.accessioned2020-12-23T02:30:11Z-
dc.date.available2020-12-23T02:30:11Z-
dc.date.created2020-12-23-
dc.date.issued2020-05-31-
dc.identifier.citationIEEE International Conference on Robotics and Automation, ICRA 2020-
dc.identifier.urihttp://hdl.handle.net/10203/278929-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleSim-To-Real Transfer Learning Approach for Tracking Multi-DOF Ankle Motions Using Soft Strain Sensors-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameIEEE International Conference on Robotics and Automation, ICRA 2020-
dc.identifier.conferencecountryFR-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorKim, Jung-
dc.contributor.nonIdAuthorCho, Junhwi-
dc.contributor.nonIdAuthorNa, Yeongjin-
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ME-Conference Papers(학술회의논문)
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