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Building Information Model (BIM) and Robotic Systems Integration for Construction: A Comprehensive Workflow Analysis and Future Perspectives

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Artificial Intelligence in HCI (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14736))

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Abstract

The ongoing integration of Building Information Modelling (BIM) with robotic technologies is initiating a revolution in the construction industry; however, there is a lack of systematic reviews on the application of BIM-Robotics in the industry. This review paper provides a comprehensive analysis of this trend, assessing the workflow from BIM to robot operation. It includes discussions on the leaders in BIM-Robot, the applications of BIM-Robot integration, implications, and prospects. A systematic literature review using the PRISMA methodology was conducted via the Web of Science (WOS) database to achieve the objective. Initially, 200 articles were identified, but only 22 met the established criteria for selection. This research paper aims to serve as a valuable resource for researchers, practitioners in the AEC industry, educators, industry professionals, and policymakers. It seeks to assist them in adapting to and leveraging these emerging technologies to address the challenges of the future construction industry. By extracting data from relevant articles, the paper investigates the current leaders in robot navigation using BIM in construction, and the state of research in employing BIM for robot navigation.

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Acknowledgments

This material is based upon work supported by the National Science Foundation under Grant No. 2222881. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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Authors and Affiliations

  1. Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA, 70803, USA

    Obiora Odugu, Fatemeh Ghafari, Ehsan Shourangiz, Muhammad Tahir Khan & Chao Wang

Authors
  1. Obiora Odugu
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  2. Fatemeh Ghafari
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  3. Ehsan Shourangiz
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  4. Muhammad Tahir Khan
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  5. Chao Wang
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Correspondence to Obiora Odugu .

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Editors and Affiliations

  1. Siemens Corporation, Princeton, NJ, USA

    Helmut Degen

  2. Foundation for Research and Technology - FORTH, Heraklion, Crete, Greece

    Stavroula Ntoa

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Odugu, O., Ghafari, F., Shourangiz, E., Khan, M.T., Wang, C. (2024). Building Information Model (BIM) and Robotic Systems Integration for Construction: A Comprehensive Workflow Analysis and Future Perspectives. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2024. Lecture Notes in Computer Science(), vol 14736. Springer, Cham. https://doi.org/10.1007/978-3-031-60615-1_18

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  • DOI: https://doi.org/10.1007/978-3-031-60615-1_18

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