Sujie Liu

Shenyang Institute of Automation, Ji Hua Laboratory

Papers

Total Citations

H-Index

About

Sujie Liu is a leading researcher in intelligent robotic systems, with a primary focus on precision manufacturing and automation for the aerospace industry. His work centers on two critical areas: hybrid force/position control for complex machining tasks and vision-based robotic calibration. Liu’s most influential contribution is his pioneering design of a hybrid force/position control system for robot automation grinding of aviation blades, integrating fuzzy PID control to achieve unprecedented precision in handling complex, curved surfaces. This work, published in 2020, has garnered 50 citations, underscoring its significance in advancing adaptive robotic control for high-stakes manufacturing. Additionally, Liu developed an automatic calibration algorithm for robot Tool Center Point (TCP) using binocular vision, addressing a fundamental challenge in robotic accuracy. By attaching a recognizable target to the end tool, his method enables precise, automated calibration without manual intervention, enhancing operational efficiency. Liu’s research bridges the gap between theoretical control algorithms and practical industrial applications, making him a key figure in the evolution of intelligent automation for aerospace component production.