Weizhe Liu
Papers
1
Total Citations
5
H-Index
1
About
Weizhe Liu is a researcher specializing in the control and dynamics of tracked mobile robots (TMRs), with a particular focus on robust trajectory tracking under uncertain and disturbed conditions. His work addresses a critical challenge in field robotics: maintaining precise motion control when TMRs are subjected to unknown bounded disturbances, such as interference forces from onboard manipulators or uneven terrain. In his most-cited paper (2020, 5 citations), Liu introduced an adaptive sliding mode control strategy that compensates for dynamic steering resistance without requiring an exact system model, effectively handling the nonlinearities and parameter uncertainties inherent in TMR dynamics. This contribution is foundational for applications in agriculture, construction, and disaster response, where reliable off-road mobility is essential. Though his citation count is still growing, Liu’s research is notable for bridging theoretical control design with practical implementation constraints, offering a computationally efficient solution that does not rely on precise prior knowledge of disturbance characteristics. His work is particularly relevant for students and engineers seeking to advance autonomous ground vehicles operating in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1