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Review | Open Access

BIM-driven robotics in construction: A systematic review of integration methods, applications, and future directions

Obiora OduguFatemeh GhafariEhsan ShourangizMuhammad Tahir KhanChao Wang( )
Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge 70803, USA
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Abstract

Building information modeling (BIM) and robotic technologies are revolutionizing the construction industry. The integration of BIM and robotics has the potential to enhance workforce skills, improve safety, and optimize construction processes. However, despite these promising benefits, a significant gap in systematic reviews on applying this integration within the industry is evident. This research addresses this crucial gap through a comprehensive and rigorous systematic literature review following the preferred reporting items for systematic review and meta-analysis (PRISMA) methodology. In our search within the Web of Science (WoS) database using a detailed search query, we identified 200 articles. After applying specific inclusion and exclusion criteria, we selected 22 papers for review. This paper thoroughly examines the current applications of BIM and robotics in construction, focusing on specific scenarios where these technologies converge. It also delves into the mechanisms of data transfer, both real-time and otherwise, highlighting how BIM and robotics interact, and the efficiency gains achieved through their integration. Additionally, the paper explores future research directions, challenges, and opportunities within this domain, aiming to provide insights into how these emerging technologies can continue to evolve and address the construction industry’s forthcoming needs.

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Journal of Intelligent Construction
Article number: 9180103

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Cite this article:
Odugu O, Ghafari F, Shourangiz E, et al. BIM-driven robotics in construction: A systematic review of integration methods, applications, and future directions. Journal of Intelligent Construction, 2025, 3(4): 9180103. https://doi.org/10.26599/JIC.2025.9180103

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Received: 25 February 2025
Revised: 19 May 2025
Accepted: 10 June 2025
Published: 16 December 2025
© The Author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.