Papers
5
Total Citations
17
H-Index
3
About
Haiou Liao is an emerging researcher at the intersection of robotics, computer vision, and smart construction technology. Their work focuses on developing intelligent inspection systems that leverage cutting-edge sensing and artificial intelligence to revolutionize construction quality assessment and building management. Liao's most notable contributions include pioneering sensor fusion approaches that combine ultra-wide-band radar with depth cameras to detect hollow defects inside building structures with high accuracy, as well as advancing crack detection methodologies using fully convolutional networks deployed on autonomous inspection robots. A recurring theme across their research is the integration of Building Information Modeling (BIM) with robotic systems, enabling autonomous navigation, semantic mapping, and real-time progress monitoring on construction sites. Their work on visual SLAM further demonstrates a commitment to enhancing robots' environmental perception capabilities across diverse applications, including cleaning robots. With publications accumulating citations across multiple venues since 2022, Liao's research portfolio — totaling 17 citations across five papers — reflects a rapidly growing influence in construction robotics and intelligent infrastructure assessment. Students interested in smart buildings, autonomous systems, or AI-driven quality inspection will find Liao's work an invaluable reference point.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5