Chengkun Wang
Papers
6
Total Citations
67
H-Index
5
About
Chengkun Wang is a robotics researcher whose work focuses on precision automation for aircraft assembly, particularly in robotic drilling systems. His major contributions center on developing intelligent surface normal measurement methods and micro-adjusting attitude mechanisms for drilling robot end-effectors. Wang pioneered the use of four laser ranging sensors uniformly distributed around the drill bit to measure surface normals from non-coplanar points, ensuring perpendicular drilling in aerospace manufacturing. His Double-Eccentric-disc Normal-Adjustment (DENA) mechanism, which adjusts two rotational degrees of freedom through interacting eccentric discs, represents a key innovation for achieving drill axis alignment with surface normals. His most cited works, including "Surface normal measurement in the end effector of a drilling robot for aviation" and "A micro-adjusting attitude mechanism for autonomous drilling robot end-effector," have each garnered 20 citations. Wang has also contributed to engineering education, developing an AGV-based teaching approach for mechatronics courses that bridges theoretical knowledge with practical industrial skills. His research addresses critical challenges in aircraft assembly automation, improving drilling perpendicularity and overall assembly quality through precise robotic manipulation.
Research Focus
Key Achievements
Top Papers
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- 4An AGV-based teaching approach on experiments of mechatronics course6 citations · 2014
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