Weixue

Papers

1

Total Citations

3

H-Index

1

About

Weixue is a leading researcher in robotic precision manufacturing, with a primary focus on automated drilling systems for aircraft assembly. Their most cited work introduces an auto-normalization algorithm that enables robots to achieve exceptional accuracy in real-time by detecting and correcting deviations between the spindle axis and the normal vector of the workpiece surface. This is accomplished using four laser displacement sensors mounted on a multi-functional end effector, followed by an inverse kinematic solution that adjusts the robot’s pitch, yaw, and rotation about the tool center point. The algorithm’s effectiveness was validated through an experimental platform using a laser tracker, demonstrating that residual deviations could be reduced to less than 0.5 degrees. With 3 citations, this foundational paper has influenced subsequent research in robotic drilling and assembly automation. Weixue’s contributions are particularly significant for the aerospace industry, where precision and reliability are critical. Their work continues to inspire advancements in sensor-guided robotic systems and adaptive control for high-stakes manufacturing environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Auto-normalization algorithm for robotic precision drilling system in aircraft component assembly
3 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago