Papers

9

Total Citations

184

H-Index

5

About

Biao Mei is a prominent researcher specializing in robotic manufacturing systems, precision measurement, and aerospace automation — with a particular focus on robotic drilling and assembly for aircraft structures. His work addresses one of aerospace manufacturing's most persistent challenges: achieving high positioning accuracy in automated drilling systems operating over large, complex workspaces. Mei's most influential contributions center on vision-based error measurement and compensation. His 2013 paper on measurement error analysis for 2D vision systems in robotic drilling has garnered 73 citations, establishing foundational methods that subsequent researchers continue to build upon. He extended this work through robot base frame calibration techniques and novel elliptic contour extraction methods for reference hole detection, accumulating further significant recognition from the research community. More recently, Mei has expanded his scope toward multi-spindle robotic drilling systems for aero-engine nacelle acoustic liners, incorporating semi-supervised learning for composite hole segmentation and performance-oriented layout optimization — demonstrating an evolving integration of machine learning into precision manufacturing. His 2023 work on thin-walled aerostructure assembly reflects a continued commitment to translating research innovations into deployable industrial systems. Across roughly a decade of contributions, Mei's research has meaningfully advanced the automation of safety-critical aerospace manufacturing processes.

Research Focus

Key Achievements

5
H-Index
9
Papers
184
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Measurement error analysis and accuracy enhancement of 2D vision system for robotic drilling
73 citations · 2013
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Zhejiang University, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago