Papers
13
Total Citations
136
H-Index
7
About
Wulin Zou is a researcher whose work lies at the intersection of control theory, robotics, and human-robot interaction (HRI). His primary research areas include disturbance estimation, series elastic actuators (SEAs), and impedance control. A key contribution is the development of advanced Kalman filters, notably the "Generalized Multikernel Maximum Correntropy Kalman Filter for Disturbance Estimation" (35 citations), which robustly estimates both system states and disturbances in non-Gaussian noise. He has also made significant strides in making robots safer and more responsive, with highly cited papers on passivity-guaranteed stiffness control for cable-driven SEAs (20 citations) and multi-kernel Kalman filters for orientation estimation (19 citations). Zou’s work on augmented virtual stiffness rendering (17 citations) and body weight support systems for rehabilitation (9 citations) demonstrates a strong applied focus, aiming to improve physical therapy and assistive robotics. His research, totaling over 120 citations, is characterized by rigorous theoretical frameworks—such as mixed H₂/H∞ synthesis and complementary passivity—that ensure both stability and performance in real-world HRI applications, making him a notable figure in the field of safe and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Multi-Kernel Maximum Correntropy Kalman Filter for Orientation Estimation19 citations · 2022
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- 9Robust Admittance Control With Complementary Passivity5 citations · 2023
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