YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Building “RoboAvatar”: Industry Foundation Classes–Based Digital Representation of Robots in the Built Environment

    Source: Journal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 004::page 04024013-1
    Author:
    Junjie Chen
    ,
    Weisheng Lu
    ,
    Yipeng Pan
    ,
    Yonglin Fu
    DOI: 10.1061/JCCEE5.CPENG-5723
    Publisher: ASCE
    Abstract: Digital representation of robots as Avatars, called “RoboAvatars,” is a premise for value-added construction applications such as simulation, layout design, and task planning. Existing RoboAvatars are described in data schemas predominantly from the robotics community, which prevents their smooth applications in the built environment. To fully unleash the power of robotics, this research aims to develop a Building RoboAvatar by adopting the industry foundation classes (IFC) as the de facto standard in the building industry. First, the Building RoboAvatar is defined from a built environment perspective, and then substantiated with IFC. A translator called RoboIFCTrans is developed to facilitate the exploitation of the numerous readily available RoboAvatars represented by the Unified Robot Description Format. Experiments demonstrated the effectiveness of Building RoboAvatar in representing robot information needed for the built environment, which encompasses the “whole-part” robot structure and properties in terms of productivity, capability, etc. The RoboIFCTrans can accurately generate IFC representations of diverse robots (TurtleBot, UR-5, Diablo) within 41.9 s. Practical implications of the IFC-based Building RoboAvatars were illustrated by two use cases. The research contributes to building a “Tower of Babel” between the construction and robotics communities. The source code is made publicly open, in the hope of encouraging future research to explore more exciting opportunities (e.g., robot-oriented design, digital twin) enabled by the Building RoboAvatar.
    • Download: (4.160Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Building “RoboAvatar”: Industry Foundation Classes–Based Digital Representation of Robots in the Built Environment

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4297346
    Collections
    • Journal of Computing in Civil Engineering

    Show full item record

    contributor authorJunjie Chen
    contributor authorWeisheng Lu
    contributor authorYipeng Pan
    contributor authorYonglin Fu
    date accessioned2024-04-27T22:43:32Z
    date available2024-04-27T22:43:32Z
    date issued2024/07/01
    identifier other10.1061-JCCEE5.CPENG-5723.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297346
    description abstractDigital representation of robots as Avatars, called “RoboAvatars,” is a premise for value-added construction applications such as simulation, layout design, and task planning. Existing RoboAvatars are described in data schemas predominantly from the robotics community, which prevents their smooth applications in the built environment. To fully unleash the power of robotics, this research aims to develop a Building RoboAvatar by adopting the industry foundation classes (IFC) as the de facto standard in the building industry. First, the Building RoboAvatar is defined from a built environment perspective, and then substantiated with IFC. A translator called RoboIFCTrans is developed to facilitate the exploitation of the numerous readily available RoboAvatars represented by the Unified Robot Description Format. Experiments demonstrated the effectiveness of Building RoboAvatar in representing robot information needed for the built environment, which encompasses the “whole-part” robot structure and properties in terms of productivity, capability, etc. The RoboIFCTrans can accurately generate IFC representations of diverse robots (TurtleBot, UR-5, Diablo) within 41.9 s. Practical implications of the IFC-based Building RoboAvatars were illustrated by two use cases. The research contributes to building a “Tower of Babel” between the construction and robotics communities. The source code is made publicly open, in the hope of encouraging future research to explore more exciting opportunities (e.g., robot-oriented design, digital twin) enabled by the Building RoboAvatar.
    publisherASCE
    titleBuilding “RoboAvatar”: Industry Foundation Classes–Based Digital Representation of Robots in the Built Environment
    typeJournal Article
    journal volume38
    journal issue4
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-5723
    journal fristpage04024013-1
    journal lastpage04024013-17
    page17
    treeJournal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian