Xiaojing Tan

Minnan University of Science and Technology

Papers

Total Citations

H-Index

About

Xiaojing Tan is a researcher whose work centers on motion control systems and robotics, with a particular emphasis on improving automation efficiency through advanced control algorithms. Their most notable contribution is the application of fuzzy PID position control algorithms to palletizing robots, addressing critical challenges in industrial automation such as low operational efficiency and poor control precision. By integrating fuzzy logic with traditional PID control, Tan’s research enhances the adaptability and accuracy of robotic systems, enabling smoother and more reliable performance in material handling tasks. Their key paper, "Application of Fuzzy PID Position Control Algorithm in Motion Control System Design of Palletizing Robot" (2022), has garnered 7 citations, reflecting its relevance to engineers and researchers seeking practical solutions for industrial robotics. Tan’s work is distinguished by its focus on FPGA-based hardware platforms, bridging the gap between theoretical control strategies and real-world implementation. This achievement underscores their commitment to advancing automation technology, making their research a valuable resource for students and professionals exploring intelligent motion control in robotics.