Papers
10
Total Citations
211
H-Index
8
About
Dr. Jiangpeng Shu is a leading researcher at the intersection of robotics, civil infrastructure, and artificial intelligence, whose work is redefining how we build and maintain our built environment. His research centers on three key areas: robotic construction, automated structural inspection, and the integration of Building Information Modeling (BIM) with intelligent machine control. Dr. Shu’s most impactful contribution is the development of a BIM-based task and motion planning prototype for robotic assembly, a critical innovation that enabled the rapid, automated construction of lightweight structures for COVID-19 hospitalization units (54 citations). He has also pioneered the use of machine learning for quality control, developing a classification system for concrete vibration behavior (49 citations). For inspection, Dr. Shu has created complete-coverage path-planning algorithms for climbing robots to autonomously survey bridge towers (21 citations) and has advanced crack detection through active-learning-integrated transformers and binocular vision systems, enabling precise, quantitative assessment of structural defects. His work on collision-free trajectory planning (28 citations) further solidifies his reputation as a visionary in making construction safer, faster, and more intelligent.
Research Focus
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