Lu Deng
Papers
2
Total Citations
7
H-Index
2
About
Lu Deng is a rising researcher in construction automation and robotic manufacturing, with a focus on integrating computer vision and deep learning to solve practical, high-precision industrial challenges. Her work bridges the gap between digital design and physical construction, particularly in the automation of welding and tiling processes. In her highly cited 2025 paper, "Automatic tile position and orientation detection combining deep-learning and rule-based computer vision algorithms," Deng developed a hybrid approach that marries the adaptability of neural networks with the reliability of classical computer vision, achieving robust detection for automated tiling systems. She further advanced the field with "Automated point positioning for robotic spot welding using integrated 2D drawings and structured light cameras," where she demonstrated how to translate 2D design data into precise 3D robotic actions, a critical step toward fully autonomous fabrication. Though early in her career, Deng’s work has already garnered attention, with her top papers accumulating citations that underscore their immediate relevance to industry and academia. Her contributions are paving the way for smarter, more flexible construction robots, making her a researcher to watch in the evolving landscape of automated building technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2