Download PDFOpen PDF in browserA BIM-Integrated Painting Approach in Construction with Autonomous Painting Robots10 pages•Published: July 23, 2025AbstractIntegrating robotics into construction is gaining momentum as a viable solution to industry challenges, such as low productivity, on-site errors, and others. Among these challenges, painting activity stands out due to its inherent hazards, including exposure to harmful substances and falls. Autonomous painting robots (APRs) emerge as a promising means to mitigate these risks. Although these APRs are equipped with sensing technologies to facilitate their task execution, the dynamic nature of construction environments often leads to errors generated by onboard sensors. This study presents an innovative approach that leverages Building Information Modeling (BIM) to enhance painting accuracy and efficiency. By extracting semantic and geometric data from BIM models, the system improves sensor data interpretation, enabling precise identification of building elements and boundary delineation for painting tasks. Furthermore, integrating project scheduling ensures collision avoidance with concurrent construction activities, enhancing overall task coordination and efficiency. This study addresses sensor-related errors inherent in construction robotics, offering a comprehensive solution for safer, more efficient painting operations.Keyphrases: automation, autonomous painting robots, building information modeling, construction robotics In: Wesley Collins, Anthony J. Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 61st Annual International Conference, vol 6, pages 482-491.
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