Hongzhao Liu
Papers
5
Total Citations
196
H-Index
4
About
Hongzhao Liu is a control systems researcher whose work centers on autonomous mobile robotics, with particular expertise in robust motion control, state estimation, and adaptive control strategies for wheeled mobile robots (WMRs). His research has made significant contributions to addressing two of the most persistent challenges in mobile robotics: system uncertainties and wheel slipping phenomena. Liu's most influential work, garnering over 100 citations, introduced an extended state observer-based adaptive sliding mode control framework for differential-driving mobile robots, offering a powerful solution for handling real-world uncertainties. Building on this foundation, he developed a series of adaptive tracking control approaches that explicitly model both longitudinal and lateral wheel slipping as time-varying parameters — a sophisticated treatment that substantially improves trajectory tracking accuracy under realistic operating conditions. A hallmark of Liu's methodology is his innovative integration of Unscented Kalman Filter (UKF) techniques with adaptive control, enabling simultaneous obstacle avoidance and precise tracking even when slipping parameters are unknown. This work, cited nearly 40 times, represents a notable advancement in practical robot navigation. Collectively, Liu's publications reflect a rigorous and application-driven research philosophy, making his contributions highly relevant to engineers and researchers developing reliable autonomous ground vehicle systems.
Research Focus
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Top Papers
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