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A BIM-enabled robot control system for automated integration between rebar reinforcement and 3D concrete printing

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Title: A BIM-enabled robot control system for automated integration between rebar reinforcement and 3D concrete printing
Authors: Song Du, Fei Teng, Zicheng Zhuang, Dong Zhang, Mingyang Li, Heng Li, Yiwei Weng
Source: Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
Publisher Information: Taylor & Francis Group, 2024.
Publication Year: 2024
Collection: LCC:Science
LCC:Manufactures
Subject Terms: 3D concrete printing, rebar reinforcement, robot control system, deep learning, Building Information Modeling, Science, Manufactures, TS1-2301
More Details: ABSTRACT3D concrete printing (3DCP) has attracted significant attention due to the benefits of enhanced productivity and sustainability. However, existing 3DCP techniques face challenges of automation and practicality in integrating conventional rebar reinforcement with printed concrete structures. This study presents an automated robot system coupled with Building Information Modeling (BIM) to address the challenge. Dynamo scripts in BIM were used to generate printing paths, further optimised by a proposed algorithm for incorporating rebar reinforcement. A deep learning model was adopted to identify rebars with large aspect ratios. The average accuracy of rebar recognition is 92.5%, with a position error within 2 mm. A centralised control system was developed for multiple-device communication, including a camera, a robot arm, and a gripper. Finally, a real-time demonstration was conducted, representing the first practical demonstration of an automated robotic system to integrate rebar reinforcement with printed structures using BIM-generated data in the physical world.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 17452759
1745-2767
1745-2759
Relation: https://doaj.org/toc/1745-2759; https://doaj.org/toc/1745-2767
DOI: 10.1080/17452759.2024.2332423
Access URL: https://doaj.org/article/41e2d2fbe2a547779e2bbdaf5f57734c
Accession Number: edsdoj.41e2d2fbe2a547779e2bbdaf5f57734c
Database: Directory of Open Access Journals
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  Data: A BIM-enabled robot control system for automated integration between rebar reinforcement and 3D concrete printing
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  Data: <searchLink fieldCode="AR" term="%22Song+Du%22">Song Du</searchLink><br /><searchLink fieldCode="AR" term="%22Fei+Teng%22">Fei Teng</searchLink><br /><searchLink fieldCode="AR" term="%22Zicheng+Zhuang%22">Zicheng Zhuang</searchLink><br /><searchLink fieldCode="AR" term="%22Dong+Zhang%22">Dong Zhang</searchLink><br /><searchLink fieldCode="AR" term="%22Mingyang+Li%22">Mingyang Li</searchLink><br /><searchLink fieldCode="AR" term="%22Heng+Li%22">Heng Li</searchLink><br /><searchLink fieldCode="AR" term="%22Yiwei+Weng%22">Yiwei Weng</searchLink>
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  Data: ABSTRACT3D concrete printing (3DCP) has attracted significant attention due to the benefits of enhanced productivity and sustainability. However, existing 3DCP techniques face challenges of automation and practicality in integrating conventional rebar reinforcement with printed concrete structures. This study presents an automated robot system coupled with Building Information Modeling (BIM) to address the challenge. Dynamo scripts in BIM were used to generate printing paths, further optimised by a proposed algorithm for incorporating rebar reinforcement. A deep learning model was adopted to identify rebars with large aspect ratios. The average accuracy of rebar recognition is 92.5%, with a position error within 2 mm. A centralised control system was developed for multiple-device communication, including a camera, a robot arm, and a gripper. Finally, a real-time demonstration was conducted, representing the first practical demonstration of an automated robotic system to integrate rebar reinforcement with printed structures using BIM-generated data in the physical world.
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        Value: 10.1080/17452759.2024.2332423
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      – Text: English
    Subjects:
      – SubjectFull: 3D concrete printing
        Type: general
      – SubjectFull: rebar reinforcement
        Type: general
      – SubjectFull: robot control system
        Type: general
      – SubjectFull: deep learning
        Type: general
      – SubjectFull: Building Information Modeling
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      – TitleFull: A BIM-enabled robot control system for automated integration between rebar reinforcement and 3D concrete printing
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            NameFull: Song Du
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            NameFull: Yiwei Weng
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            – D: 01
              M: 12
              Type: published
              Y: 2024
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