Papers
15
Total Citations
109
H-Index
6
About
Hualiang Zhang is a leading researcher in robotics, specializing in robot control, trajectory planning, and human-robot interaction. His work addresses critical challenges in industrial automation, including friction modeling, sensor-less hand guiding, and high-precision interpolation using non-uniform rational B-splines with S-shaped feedrate scheduling. Zhang’s contributions to time-optimal feedrate planning, which considers kinematic and dynamic constraints, have garnered significant attention, with his most-cited paper on joint friction models accumulating 25 citations. He has also developed innovative approaches to hybrid force/position control for uncertain environments and universal nonlinear disturbance observers for robotic manipulators, enhancing robustness and reliability in tasks like welding and assembly. Notably, his work on educational platforms for robot control and digital twin architectures for robot shaping processes demonstrates a commitment to bridging theory and practice. With over 100 citations across his top papers, Zhang’s research is widely recognized for its practical impact on industrial robotics, particularly in improving precision, safety, and efficiency in automated systems.
Research Focus
Key Achievements
Top Papers
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- 5Universal nonlinear disturbance observer for robotic manipulators9 citations · 2023
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- 7Design of AGV Chassis Motion Control System Based on MWorks5 citations · 2023
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