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
Top Papers
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- 7Development of a monocular vision system for robotic drilling5 citations · 2014
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