Lin-Lin Chen
Papers
1
Total Citations
23
H-Index
1
About
Lin-Lin Chen is a leading researcher in precision robotics and intelligent manufacturing, with a primary focus on enhancing the positioning accuracy of industrial robots through advanced algorithmic optimization. Her most notable contribution is the development of a logistic-tent chaotic mapping Levenberg Marquardt algorithm, which significantly improves the absolute positioning accuracy of grinding robots by correcting kinematic geometric errors. This work, published in 2024 and already garnering 23 citations, addresses a critical challenge in high-precision workpiece machining. Chen’s research bridges the gap between chaos theory and robotic calibration, offering a novel approach that outperforms traditional methods in both convergence speed and error reduction. Her work is highly influential among engineers and researchers working on robotic automation, precision manufacturing, and intelligent control systems. By integrating nonlinear dynamics with machine learning techniques, Chen continues to push the boundaries of what is achievable in automated grinding and machining processes, making her a key figure in the advancement of smart manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1