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    Generalizable Skill Learning for Construction Robots with Crowdsourced Natural Language Instructions, Composable Skills Standardization, and a Large Language Model

    Source: ASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2025:;Volume ( 003 ):;issue: 001::page 04025014-1
    Author:
    Yu, Hongrui
    ,
    Kamat, Vineet R.
    ,
    Menassa, Carol C.
    DOI: 10.1061/AOMJAH.AOENG-0082
    Publisher: American Society of Civil Engineers
    Abstract: Abstract 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 ...
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      Generalizable Skill Learning for Construction Robots with Crowdsourced Natural Language Instructions, Composable Skills Standardization, and a Large Language Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311071
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    • ASCE OPEN: Multidisciplinary Journal of Civil Engineering

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    contributor authorYu, Hongrui
    contributor authorKamat, Vineet R.
    contributor authorMenassa, Carol C.
    date accessioned2026-08-20T10:38:52Z
    date available2026-08-20T10:38:52Z
    date copyright2025/11/26
    date issued2025
    identifier otherAOMJAH.AOENG-0082.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311071
    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 ...
    publisherAmerican Society of Civil Engineers
    titleGeneralizable Skill Learning for Construction Robots with Crowdsourced Natural Language Instructions, Composable Skills Standardization, and a Large Language Model
    typeJournal Article
    journal volume3
    journal issue1
    journal titleASCE OPEN: Multidisciplinary Journal of Civil Engineering
    identifier doi10.1061/AOMJAH.AOENG-0082
    journal fristpage04025014-1
    journal lastpage04025014-17
    page17
    treeASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2025:;Volume ( 003 ):;issue: 001
    contenttypeFulltext
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