Guang‐Hui Liu
Papers
3
Total Citations
41
H-Index
3
About
Guang-Hui Liu is a robotics researcher whose work focuses on the practical challenges of industrial robot control, particularly in friction modeling, force regulation, and educational tool development. His most influential contribution is a novel joint friction model that accurately captures real-world friction behavior, especially during abrupt changes in motion direction—a critical advancement for sensor-less hand guiding in industrial robots (25 citations). Liu also developed a frequency-division based hybrid force/position control algorithm that adapts to uncertain environments by estimating unknown stiffness, significantly improving robot reliability in demanding applications like welding, polishing, and assembly (10 citations). Additionally, he created DOREP, an educational experiment platform integrating MATLAB with real-time controllers, providing students with hands-on experience in robot control (6 citations). Liu’s work bridges the gap between theoretical control algorithms and practical industrial implementation, offering robust solutions for friction compensation and adaptive force control. His contributions are particularly valuable for researchers and engineers working on sensor-less manipulation, human-robot collaboration, and cost-effective educational robotics platforms.
Research Focus
Key Achievements
Top Papers
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