Yecheng Mei

Wuhan University of Technology

Papers

1

Total Citations

10

H-Index

1

About

Dr. Yecheng Mei is a leading researcher in intelligent robotic assembly, with a primary focus on sensor-guided manipulation for high-precision manufacturing. His work bridges the critical gap between industrial automation and adaptive robotics, particularly in addressing the challenge of narrow clearance peg-in-hole assembly—a notoriously difficult task due to motion accuracy limitations and environmental uncertainties. His most-cited paper (2024, 10 citations) introduces a novel robotic assembly strategy that synergistically integrates wrist force sensing with machine vision, enabling autonomous, compliant insertion under tight tolerances. This contribution is pivotal for industries requiring micron-level assembly precision, such as electronics and aerospace. Beyond this flagship work, Dr. Mei’s research advances force-controlled manipulation and sensor fusion, demonstrating how real-time force feedback can overcome the rigidity of traditional industrial robots. His achievements have been recognized for their direct applicability to smart manufacturing, offering a scalable solution for automating complex assembly processes. With a growing citation impact, Dr. Mei is establishing himself as a key innovator in the field of robotic assembly and sensor-based automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Assembly Strategy With Wrist Force Sense for Narrow Clearance Peg-in-Hole
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Wuhan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago