Lixiang Shi
Papers
1
Total Citations
1
H-Index
1
About
Lixiang Shi is a control systems researcher whose work centers on the trajectory tracking and motion control of wheeled mobile robots (WMRs), particularly under challenging real-world conditions. Shi’s major contribution lies in developing robust control strategies that address the practical problem of unmeasurable velocity—a common issue when sensors fail or are unavailable. In their most-cited work, Shi proposed a dual closed-loop control architecture integrating a linear extended state observer (LESO) with a super-twisting algorithm, enabling precise trajectory tracking without direct velocity measurements. This approach significantly enhances the reliability and disturbance rejection of mobile robots in uncertain environments. While early in their career, with the top paper accumulating 1 citation, the work demonstrates a strong foundation in nonlinear control theory and observer design. Shi’s research is particularly relevant for autonomous navigation in industrial, service, and field robotics, where sensor limitations are prevalent. As a rising scholar, Shi is establishing a reputation for bridging theoretical control methods with practical robotic applications, offering solutions that improve autonomy and safety in mobile systems.
Research Focus
Key Achievements
Top Papers
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