Papers
18
Total Citations
814
H-Index
13
About
Weisheng Lu is a pioneering researcher at the intersection of construction technology, artificial intelligence, and sustainable built environments. His work is primarily focused on computer vision applications for construction waste management, human-robot collaboration, and smart construction systems — areas where he has established himself as a leading international voice. Lu's most celebrated contributions center on harnessing AI to address the global construction waste crisis. His critical review of computer vision for solid waste sorting (197 citations) has become a foundational reference in the field, while his semantic segmentation and boundary-aware transformer approaches have demonstrated practical pathways for automated waste recognition on construction sites. These works collectively reflect his commitment to translating cutting-edge machine learning into real-world environmental solutions. Beyond waste management, Lu has made significant strides in human-robot collaboration, exploring how augmented reality and digital twin technologies can simultaneously enhance productivity and worker safety in construction environments. His work on BIM-integrated robotics for facility inspection and indoor localization further underscores his interdisciplinary breadth. With multiple papers exceeding 100 citations and a growing body of work shaping smart construction discourse, Lu represents a transformative force in modernizing the built environment through intelligent, sustainable technologies.
Research Focus
Key Achievements
Top Papers
- 1Computer vision for solid waste sorting: A critical review of academic research197 citations · 2022
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