Lina Zhu
Papers
1
Total Citations
37
H-Index
1
About
Lina Zhu is a leading researcher in robotics and intelligent control systems, with a primary focus on high-speed parallel robots and advanced variable structure control methodologies. Her most-cited work, "Fuzzy sliding mode variable structure control of a high-speed parallel PnP robot" (2021, 37 citations), introduces a novel integration of fuzzy logic with sliding mode control to enhance the precision and robustness of pick-and-place (PnP) robots operating at high speeds. This contribution addresses critical challenges in industrial automation, such as reducing chattering and improving trajectory tracking under dynamic uncertainties. Zhu’s research bridges theoretical control design with practical robotic applications, offering scalable solutions for manufacturing and assembly lines. Her work has been recognized for its impact on real-time control performance, with the 2021 paper serving as a foundational reference for subsequent studies in adaptive and intelligent robotic systems. By combining fuzzy inference systems with sliding mode techniques, Zhu has advanced the reliability and efficiency of high-speed automation, making her a notable figure in the field of mechatronics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1