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    Operation Path Planning for Rail-Type Rebar Binding Robots Based on Improved Ant Colony Algorithm

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005::page 04025062-1
    Author:
    Hou, Shitong
    ,
    Wu, Mingyang
    ,
    Wu, Baijian
    ,
    Ding, Youliang
    ,
    Zhang, Jian
    ,
    Wu, Gang
    DOI: 10.1061/JCCEE5.CPENG-6160
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn recent years, the engineering construction industry has faced challenges such as aging and labor shortages. Various intelligent construction robots have been researched and applied to bridge and building construction sites. Complete coverage ...
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      Operation Path Planning for Rail-Type Rebar Binding Robots Based on Improved Ant Colony Algorithm

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314359
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    contributor authorHou, Shitong
    contributor authorWu, Mingyang
    contributor authorWu, Baijian
    contributor authorDing, Youliang
    contributor authorZhang, Jian
    contributor authorWu, Gang
    date accessioned2026-08-20T21:22:37Z
    date available2026-08-20T21:22:37Z
    date copyright2025/06/06
    date issued2025
    identifier otherJCCEE5.CPENG-6160.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314359
    description abstractAbstractIn recent years, the engineering construction industry has faced challenges such as aging and labor shortages. Various intelligent construction robots have been researched and applied to bridge and building construction sites. Complete coverage ...
    publisherAmerican Society of Civil Engineers
    titleOperation Path Planning for Rail-Type Rebar Binding Robots Based on Improved Ant Colony Algorithm
    typeJournal Article
    journal volume39
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6160
    journal fristpage04025062-1
    journal lastpage04025062-13
    page13
    treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005
    contenttypeFulltext
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