Autonomous Robotic Inspection and Validation for Construction Environments

Abstract: Construction progress and quality inspection remain largely manual, infrequent, and subjective, which means deviations from design specifications are often caught late, driving delays and costly rework across a global construction industry worth over $10 trillion annually. There is a clear need for scalable, automated solutions that connect digital design data with intelligent robotic sensing in real-world construction environments. This project is developing a prototype system that combines digital building models with a fleet of intelligent robots (including aerial and ground-based platforms) to enable automated, on-site quality inspection. The approach will be validated in realistic test environments reflecting common construction scenarios, with system performance assessed against standard accuracy and reliability benchmarks.