Zhongyan Lv
Papers
2
Total Citations
11
H-Index
2
About
Zhongyan Lv is a researcher specializing in industrial robotics, with a primary focus on enhancing robot positioning accuracy through geometric parameter calibration. Her work is deeply rooted in the principles of the new generation Geometrical Product Specification (GPS), where she emphasizes that calibration results must be accompanied by rigorous uncertainty estimation. In her most-cited 2019 paper (9 citations), Lv proposed a method to improve end-effector accuracy by calibrating geometric parameter errors and quantifying their uncertainty, a critical step for reliable manufacturing. She further advanced the field with a comparative study of the Modified Denavit-Hartenberg (MDH) and Zero Reference Model (ZRM) for series robot calibration, offering practical guidance for selecting optimal modeling approaches. Though her citation counts are modest, Lv’s contributions are foundational for precision robotics, directly impacting automation quality control. Her insistence on integrating uncertainty analysis into calibration protocols aligns with modern metrology standards, making her work valuable for engineers and researchers seeking to bridge theoretical models with real-world robot performance.
Research Focus
Key Achievements
Top Papers
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