Papers
2
Total Citations
35
H-Index
2
About
Tianhe Liu is a researcher specializing in advanced control systems for autonomous robotics, with a particular focus on robust trajectory tracking and vision-based navigation. His most impactful work, "Composite trajectory tracking of a ship-borne manipulator system based on full-order terminal sliding mode control under external disturbances and model uncertainties" (2022), has garnered 33 citations, demonstrating its significance in addressing the challenges of precise motion control in complex, dynamic environments. This contribution introduces a novel sliding mode control approach that effectively mitigates external disturbances and model uncertainties, offering a robust solution for marine robotics applications. Liu also explores the intersection of vision and control in autonomous vehicles, as seen in his work on switching control for Mecanum wheeled mobile robots during intermittent image losses—a critical issue for real-world vision-based tracking systems. His research bridges theoretical control design with practical implementation, tackling real-world constraints like sensor failures and environmental disturbances. Through these efforts, Liu has made notable strides in enhancing the reliability and performance of autonomous systems, establishing himself as a promising voice in the fields of nonlinear control and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2