Zhaoquan Tan
Papers
2
Total Citations
8
H-Index
2
About
Zhaoquan Tan is a researcher specializing in intelligent manufacturing and robotic repair systems, with a particular focus on laser cladding technology for industrial applications. His work addresses critical challenges in automated repair of worn industrial components, especially drill bits, where irregular wear surfaces complicate precision cladding. Tan’s most cited paper, “Smooth path generation method of laser cladding bit repair robot based on 3D automatic measurement of wear surface point cloud” (2021, 4 citations), introduces an innovative method for generating cladding paths on complex, irregular surfaces by integrating 3D point cloud measurement with robotic path planning. This work directly tackles the difficulty of automating repairs on non-uniform geometries. In another key contribution, “Calibration of Dual Industrial Robot System Based on Hand-Eye Calibration Algorithm” (2021, 4 citations), Tan addresses the low calibration accuracy in dual-robot systems, proposing a hand-eye calibration algorithm to improve coordination and cladding efficiency. His research is pivotal for advancing automated repair in heavy industry, reducing downtime and material waste. Tan’s contributions are particularly notable for their practical impact on manufacturing and remanufacturing processes, offering scalable solutions for robotic precision repair.
Research Focus
Key Achievements
Top Papers
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