Next-Generation Furniture Assembly by AI and Robots: Team SK2Y: A Winner of the Furniture Assembly Competition at AI–Robot Challenge 2021
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yun, Seongseop | - |
dc.contributor.author | Choi, Myoung-Su | - |
dc.contributor.author | Cho, Min-Young | - |
dc.contributor.author | Kim, Keunhwan | - |
dc.contributor.author | Lee, Dong-Hyuk | - |
dc.contributor.author | Jun, Sewoong | - |
dc.contributor.author | Bae, Ji-Hun | - |
dc.contributor.author | Shin, Dongjun | - |
dc.date.accessioned | 2024-09-23T07:30:27Z | - |
dc.date.available | 2024-09-23T07:30:27Z | - |
dc.date.issued | 2022-08 | - |
dc.identifier.issn | 1070-9932 | - |
dc.identifier.issn | 1558-223X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120537 | - |
dc.description.abstract | The 'Furniture Assembly AI-Robot Challenge 2021' is a competition that evaluates the performance of the robot for an assigned furniture assembly task by combining both artificial intelligence (AI) and robot technology. To generate commands such that a robot can execute the assembly instructions, it is essential to develop an AI-based algorithm that can recognize and interpret the assembly process based on the given instructions. The assembly robot must be dexterous and able to safely execute assembly tasks without operator intervention. © 1994-2011 IEEE. | - |
dc.format.extent | 13 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.title | Next-Generation Furniture Assembly by AI and Robots: Team SK2Y: A Winner of the Furniture Assembly Competition at AI–Robot Challenge 2021 | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/MRA.2022.3188214 | - |
dc.identifier.scopusid | 2-s2.0-85137568778 | - |
dc.identifier.wosid | 000846336100001 | - |
dc.identifier.bibliographicCitation | IEEE Robotics and Automation Magazine, v.30, no.2, pp 96 - 108 | - |
dc.citation.title | IEEE Robotics and Automation Magazine | - |
dc.citation.volume | 30 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 96 | - |
dc.citation.endPage | 108 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.subject.keywordAuthor | Robots | - |
dc.subject.keywordAuthor | Task analysis | - |
dc.subject.keywordAuthor | Automation | - |
dc.subject.keywordAuthor | Visualization | - |
dc.subject.keywordAuthor | Fasteners | - |
dc.subject.keywordAuthor | Text recognition | - |
dc.subject.keywordAuthor | Shape | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9863887 | - |
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