Jiankun Yang
Papers
2
Total Citations
16
H-Index
2
About
Jiankun Yang’s research centers on precision measurement and robotic assembly in aerospace manufacturing, with a focus on enhancing the accuracy of critical processes like hole positioning and surface normal alignment. His major contributions include developing a visual measurement method for deep holes in composite materials, addressing the challenge of complex textures that degrade positioning accuracy—a vital step for robotic assembly of aerospace components. He also advanced error analysis for normal surface measurements using multiple laser displacement sensors, improving the perpendicularity of drilled holes by guiding robot pose adjustments. Each of these 2024 papers has garnered 8 citations, signaling early recognition for their practical impact in high-stakes manufacturing environments. Yang’s work directly tackles real-world bottlenecks in aerospace production, offering solutions that boost assembly quality and reliability. His achievements are notable for bridging computer vision, sensor fusion, and robotics, making him a rising figure in intelligent manufacturing. For students and researchers, Yang’s research exemplifies how targeted metrology innovations can solve industry-critical problems, with clear potential for further influence as these methods are adopted in automated aerospace assembly lines.
Research Focus
Key Achievements
Top Papers
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- 2