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RoboCup@Home 2021 Domestic Standard Platform League Winner

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dc.contributor.authorSong, DongWoon-
dc.contributor.authorKang, Taewoong-
dc.contributor.authorYi, Jaebong-
dc.contributor.authorKim, Joonyoung-
dc.contributor.authorKim, Taeyang-
dc.contributor.authorLee, Chung-Yeon-
dc.contributor.authorRyu, Je-Hwan-
dc.contributor.authorKim, Minji-
dc.contributor.authorJo, HyunJun-
dc.contributor.authorZhang, Byoung-Tak-
dc.contributor.authorSong, Jae-bok-
dc.contributor.authorYi, Seung-Joon-
dc.date.accessioned2022-06-24T08:29:34Z-
dc.date.available2022-06-24T08:29:34Z-
dc.date.created2022-05-17-
dc.date.issued2022-
dc.identifier.citationLecture Notes in Computer Science, Vol.13132, pp.289-299-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/10371/184110-
dc.description.abstractAdoption of the World Robot Summit (WRS) rules and simulated environments for the RoboCup@Home Leagues in 2021 pose significant challenges for perception, manipulation and autonomy of the robot. Especially, the randomized item placement and longer task time highlight the need for a robust long-term autonomy that can recover from various failure cases. In this paper, we present how we have prepared our software for such challenges, which helped us to get the highest score among all the teams participated in RoboCup@Home 2021.-
dc.language영어-
dc.publisherSpringer Verlag-
dc.titleRoboCup@Home 2021 Domestic Standard Platform League Winner-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-030-98682-7_24-
dc.citation.journaltitleLecture Notes in Computer Science-
dc.identifier.wosid000784727700024-
dc.identifier.scopusid2-s2.0-85127835252-
dc.citation.endpage299-
dc.citation.startpage289-
dc.citation.volume13132-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorZhang, Byoung-Tak-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
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