Liao
Papers
1
Total Citations
3
H-Index
1
About
Liao’s research focuses on precision robotics and automated manufacturing, particularly in aircraft assembly. Their major contribution is the development of an auto-normalization algorithm for robotic drilling systems, which ensures high accuracy by aligning the drill spindle with the surface normal vector in real time. This work, published in 2013, uses four laser displacement sensors mounted on a multi-functional end effector to measure deviations, then adjusts the robot’s pitch and yaw around the tool center point to correct alignment. Experimental validation with a laser tracker showed that residual deviations were reduced to less than 0.5 degrees, demonstrating a significant improvement in precision for aircraft component assembly. While the paper has 3 citations, its impact lies in advancing automated drilling accuracy, a critical need in aerospace manufacturing. Liao’s work bridges robotics and industrial quality control, offering a practical solution for real-time surface normal detection and robot attitude correction. This innovation supports the growing demand for automation in high-stakes assembly tasks, where even minor errors can compromise structural integrity. Liao’s contributions continue to inform research in robotic precision systems and adaptive manufacturing processes.
Research Focus
Key Achievements
Top Papers
- 1