Wenhe

Papers

1

Total Citations

3

H-Index

1

About

Wenhe is a researcher whose work lies at the intersection of robotics, precision manufacturing, and aerospace assembly. Their key contributions focus on developing advanced algorithms for robotic drilling systems, particularly in the context of aircraft component assembly. Wenhe’s most-cited paper, "Auto-normalization algorithm for robotic precision drilling system in aircraft component assembly" (2013), introduces a novel approach for real-time detection of normal vectors to product surfaces, enabling precise robotic alignment. By employing four laser displacement sensors on a multi-functional end effector, the algorithm measures deviations between the spindle axis and the surface normal, then adjusts the robot’s attitude through pitch and yaw rotations around the tool center point. This work, with 3 citations, demonstrates significant impact in improving drilling accuracy and reducing errors to below 0.5 degrees. Wenhe’s research is notable for its practical application in aerospace manufacturing, where precision is critical, and their experimental validation using a laser tracker platform underscores a commitment to rigorous testing. This achievement highlights Wenhe’s role in advancing automated assembly technologies, making their work essential reading for students and researchers in robotics and manufacturing engineering.

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 · 12 days ago