Papers
1
Total Citations
2
H-Index
1
About
Ling Pan is a researcher focused on industrial automation and intelligent control systems, with particular expertise in robotic motion trajectory optimization. Her most-cited work, "Motion Trajectory Control System for Production Line Robots Based on Variable Domain Fuzzy Control" (2022), addresses a critical challenge in modern manufacturing: improving the precision and adaptability of robotic manipulators used in mechatronics production lines. By integrating variable domain fuzzy control, Pan's research enhances the ability of robots to adjust their motion trajectories in real time, reducing errors and increasing operational efficiency. This work has practical implications for reducing labor demands and boosting enterprise productivity, contributing to the broader adoption of smart manufacturing technologies. While her citation count is still growing, Pan's contributions are notable for their direct application to industry, bridging the gap between theoretical control methods and real-world production systems. Her research supports the ongoing transformation of manufacturing through automation, offering solutions that improve both economic outcomes and workplace safety. As the field of intelligent robotics expands, Pan's work provides a foundation for more adaptive and efficient production line systems.
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Top Papers
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