Review of the Applications of Building Information Modelling in Robotics

G. Byers, S. RazaviAlavi*, H. Kiavarz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

42 Downloads (Pure)


Adopting robots in the construction industry can address the main issues existing for a long time in this industry, i.e., low productivity, high safety incident and injury rates, and skilled labour shortage. Due to the advancements in artificial intelligence, sensing and computing technologies over the past few years, robot applications for automating manual and repetitive construction activities have been rising. Dynamics, uniqueness, and complexity of construction sites are the primary hindrances for adopting robots in the construction environment. Building Information Modeling (BIM) can assist robots to overcome these hindrances by providing geometric, topological, and semantic data about the construction and built environment in a digital format. Recent studies have attempted to exploit BIM data for enhancing robot navigation, planning robot tasks, and construction progress tracking. This study aims to report the state of the art in the emerging applications of BIM in robotics through systematically reviewing the literature and providing the trend of the studies for utilising BIM in promoting robot applications in the construction industry.
Original languageEnglish
Title of host publication2022: The Digital Reality of Tomorrow
Place of PublicationFredericton, Canada
PublisherUniversity of New Brunswick
Number of pages10
Publication statusPublished - 19 Aug 2022
EventTransforming Construction with Reality Capture Technologies: The Digital Reality of Tomorrow - University of New Brunswick, Fredericton, Canada
Duration: 23 Aug 202226 Aug 2022


ConferenceTransforming Construction with Reality Capture Technologies
Internet address


Dive into the research topics of 'Review of the Applications of Building Information Modelling in Robotics'. Together they form a unique fingerprint.

Cite this