Xufeng Liang
Papers
5
Total Citations
58
H-Index
4
About
Xufeng Liang is a leading researcher in intelligent robotic manufacturing, with a core focus on precision machining and surface treatment of aero-engine components. His work uniquely bridges advanced vision systems, point cloud processing, and robotic trajectory planning to solve critical challenges in aerospace manufacturing. Liang’s most impactful contributions include developing a robotic polishing trajectory planning method for thermal barrier coatings (TBCs) on turbine blades, which directly enhances engine efficiency and thermal cycle life. He has also pioneered vision-based calibration methods for robotic grinding systems and a point cloud registration algorithm for offline programming, both essential for reducing calibration errors from fixtures and uneven margins. His research, published in top venues, has accumulated over 58 citations, with his 2022 paper on robotic polishing for TBCs alone receiving 17 citations. Liang’s integrated camera calibration approach for monocular vision guidance further demonstrates his systematic work in robotic positioning. By enabling higher precision and automation in aero-engine blade finishing, his methods are directly applicable to improving the durability and performance of next-generation aircraft engines, making his work vital for both manufacturing engineers and robotics researchers.
Research Focus
Key Achievements
Top Papers
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