Minqing Lin

About

Minqing Lin is a leading researcher in the field of robotic automation for aerospace manufacturing, with a primary focus on enhancing the precision and reliability of autonomous drilling and spraying systems. His major contributions center on solving critical accuracy challenges that have historically prevented robots from being used in high-stakes aircraft assembly. Lin pioneered novel methods for improving robot positioning accuracy and drilling perpendicularity, developing a specialized perpendicularity adjustment end effector and a visual positioning and measurement system that corrects workpiece position in real-time. His work on trajectory tracking control for nonholonomic mobile robots, using Linear Active Disturbance Rejection Control (LADRC), and accuracy compensation for spraying robots via RBF neural networks further demonstrates his commitment to advancing robotic autonomy. With his most cited papers garnering 8 citations each, Lin’s research directly addresses safety-critical issues—such as hole quality affecting aircraft structural integrity—and has laid the groundwork for more reliable, offline-programmable robotic systems in aviation. His achievements are pivotal for students and researchers interested in the intersection of robotics, control theory, and precision manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   Improvements of robot positioning accuracy and drilling perpendicularity for autonomous drilling robot system

   8 citations · 2015
2. 2
   Perpendicularity adjustment end effector for aeronautical drilling robot

   8 citations · 2016
3. 3
   A visual positioning and measurement system for robotic drilling

   7 citations · 2016
4. 4
   A novel tracking control method based on LADRC for autonomous mobile robot

   6 citations · 2015
5. 5
   Accuracy compensation of a spraying robot based on RBF neural network

   2 citations · 2016

Key Collaborators

Contact & Links