Papers
2
Total Citations
46
H-Index
2
About
Xingyu Tao is a leading researcher in construction automation and robotics, with a focus on integrating Building Information Modeling (BIM) with advanced sensing technologies. His work centers on developing autonomous systems for reality capture and inspection, particularly through the use of multi-sensor quadruped robots that can navigate complex indoor environments. Tao's major contributions include pioneering methods for automated data collection and analysis that bridge the gap between physical construction sites and digital BIM models, enabling more efficient quality control and progress monitoring. His most cited work, presented at the 38th International Symposium on Automation and Robotics in Construction (ISARC) in 2021, has garnered 28 citations and helped shape discussions on robotic integration in construction workflows. More recently, his 2024 paper on automated reality capture using quadruped robots has already accumulated 18 citations, demonstrating the growing impact of his research. Tao's innovative approach to combining robotics, computer vision, and BIM is paving the way for safer, more accurate, and fully automated construction inspection processes.
Research Focus
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Top Papers
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