Xiushui Ma
Papers
1
Total Citations
18
H-Index
1
About
Dr. Xiushui Ma is a leading researcher in advanced robotics and control systems, with a primary focus on iterative learning control (ILC) for trajectory tracking in robotic manipulators. Their most cited work, "Estimation-Based Quadratic Iterative Learning Control for Trajectory Tracking of Robotic Manipulator With Uncertain Parameters" (2020), introduces a novel quadratic-criterion-based ILC approach (Q-ILC) that significantly enhances trajectory tracking performance under uncertain dynamic conditions. This contribution addresses a critical challenge in robotics—achieving precise motion control despite parameter variations—by combining estimation techniques with iterative learning to refine control inputs over repeated tasks. With over 18 citations, this paper has influenced subsequent research in adaptive and learning-based control for industrial and service robots. Dr. Ma’s work bridges theoretical control theory and practical robotic applications, offering robust solutions for automation and precision manufacturing. Their research continues to shape the development of intelligent robotic systems capable of operating reliably in uncertain environments, making them a notable figure in the field of nonlinear control and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1