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A Novel Framework for Enhanced Flat Object Manipulation through Reinforcement Learning and Mixed Reality Integration
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dc.contributor.author Prieto Prada, John David -
dc.contributor.author Oluwatoyosi, Obasi Yetunde -
dc.contributor.author Song, Cheol -
dc.date.accessioned 2025-01-23T09:40:17Z -
dc.date.available 2025-01-23T09:40:17Z -
dc.date.created 2023-12-21 -
dc.date.issued 2023-11-24 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57706 -
dc.description.abstract This paper addresses the challenge of flat object manipulation without conventional sensors and specialized grippers, introducing a novel HRI framework utilizing mixed reality (MR) technology via an MR headset (MRH) and deep reinforcement learning (DRL) technique. The results showed that our framework can reach a success rate of 99.5 % in manipulation tasks. -
dc.language English -
dc.publisher 대한전자공학회 -
dc.relation.ispartof 2023년 대한전자공학회 추계학술대회 논문집 -
dc.title A Novel Framework for Enhanced Flat Object Manipulation through Reinforcement Learning and Mixed Reality Integration -
dc.title.alternative 강화 학습 및 혼합 현실 통합을 통해 향상된 평면 객체 조작을 위한 새로운 프레임워크 -
dc.type Conference Paper -
dc.identifier.bibliographicCitation Prieto Prada, John David. (2023-11-24). A Novel Framework for Enhanced Flat Object Manipulation through Reinforcement Learning and Mixed Reality Integration. 대한전자공학회 2023년도 추계학술대회, 356–357. -
dc.identifier.url https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11701339 -
dc.citation.conferenceDate 2023-11-24 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 시흥 -
dc.citation.endPage 357 -
dc.citation.startPage 356 -
dc.citation.title 대한전자공학회 2023년도 추계학술대회 -
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Song, Cheol송철

Department of Robotics and Mechatronics Engineering

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