Papers
1
Total Citations
7
H-Index
1
About
Cuiqiao Li is a robotics researcher specializing in intelligent control systems for industrial automation, with a particular focus on trajectory tracking and precision manipulation. Her most cited work, "Trajectory tracking of 4-DOF assembly robot based on quantification factor and proportionality factor self-tuning fuzzy PID control" (2020, 7 citations), addresses a critical challenge in assembly robotics: maintaining system stability and accuracy under external disturbances and parameter variations. Li developed a self-tuning fuzzy PID controller that dynamically adjusts quantification and proportionality factors, significantly improving tracking response speed and accuracy for four-degree-of-freedom manipulators. This contribution enhances the robustness of robotic assembly systems, making them more reliable in real-world manufacturing environments where precision is paramount. While her citation count is modest, reflecting an early-career stage, her work demonstrates a strong foundation in control theory and practical robotics applications. Li's research holds promise for advancing adaptive control strategies in industrial robotics, particularly for tasks requiring high repeatability and disturbance rejection.
Research Focus
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Top Papers
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