Lianming Hun

Papers

Total Citations

H-Index

About

Lianming Hun is a pioneering researcher in the field of intelligent manufacturing and robotic automation, with a primary focus on advanced vision-guided robotic systems. His most-cited work, "A Bolt Fastening Robot System Based on Hybrid Vision and Its Effect Analysis of Process Parameters on Fastening Performance" (2025), has already garnered 2 citations, signaling early impact in this niche yet industrially critical area. Hun’s major contribution lies in developing a hybrid vision system that integrates multiple sensing modalities to enhance the precision and reliability of bolt fastening robots—a key process in automotive and aerospace assembly. By systematically analyzing how process parameters like torque and speed affect fastening performance, he provides a data-driven framework for optimizing robotic operations, reducing defects, and improving production efficiency. This work bridges the gap between theoretical robotics and practical manufacturing challenges, offering engineers actionable insights for deploying autonomous fastening solutions. Hun’s research is particularly notable for its interdisciplinary approach, combining computer vision, mechatronics, and process engineering. As industries increasingly adopt smart factory paradigms, his findings are poised to influence next-generation assembly lines, making him a rising voice in the automation community.