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dc.contributor.authorYu, Hongrui
dc.contributor.authorKamat, Vineet R.
dc.contributor.authorMenassa, Carol C.
dc.date.accessioned2026-08-20T10:38:52Z
dc.date.available2026-08-20T10:38:52Z
dc.date.copyright2025/11/26
dc.date.issued2025
dc.identifier.otherAOMJAH.AOENG-0082.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311071
dc.description.abstractAbstract The quasi-repetitive nature of construction work and the resulting lack of generalizability in programming construction robots present persistent challenges to the broad adoption of robots in the construction industry. Robots cannot achieve ...
dc.publisherAmerican Society of Civil Engineers
dc.titleGeneralizable Skill Learning for Construction Robots with Crowdsourced Natural Language Instructions, Composable Skills Standardization, and a Large Language Model
dc.typeJournal Article
dc.journal.volume3
dc.journal.issue1
dc.journal.titleASCE OPEN: Multidisciplinary Journal of Civil Engineering
dc.identifier.doi10.1061/AOMJAH.AOENG-0082
dc.journal.fristpage04025014-1
dc.journal.lastpage04025014-17
dc.page17
dc.treeASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2025:;Volume ( 003 ):;issue: 001
dc.contenttypeFulltext


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