Yingke Yang
Papers
1
Total Citations
7
H-Index
1
About
Yingke Yang is a leading researcher in intelligent robotic assembly and manufacturing, with a focus on precision automation for complex aerospace structures. Their work addresses critical challenges in robotic compliant assembly, particularly for composite aircraft components, where uncertainties in material behavior and geometric tolerances pose significant difficulties. Yang’s major contribution lies in developing Gaussian process-based methods to model and compensate for these uncertainties, enabling more reliable and accurate robotic assembly of complex-shaped composite frames. This research has direct implications for improving production rates and quality in aircraft manufacturing. With their most-cited paper from 2024 already garnering 7 citations, Yang’s work is gaining rapid recognition for its practical impact on the aerospace industry. Their innovative approach to integrating machine learning with robotic control systems represents a significant step forward in adaptive manufacturing, offering solutions that enhance both efficiency and safety in high-stakes assembly environments.
Research Focus
Key Achievements
Top Papers
- 1