Yunong Zhai

Papers

Total Citations

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About

Yunong Zhai is a leading researcher in intelligent robotic assembly for aerospace manufacturing, with a focus on composite structures. His work addresses critical challenges in assembling large, complex-shaped aircraft components, where precision and compliance are paramount. Zhai’s major contributions include developing a collaborative force and shape control method for large composite fuselage panels, integrating the method of influence coefficients with the NSGA-II genetic algorithm to correct manufacturing errors, gravity deformation, and fixturing inaccuracies. This work, published in 2023 with 11 citations, significantly improves assembly quality. He further advanced the field by introducing a robotic compliant assembly approach for complex-shaped composite aircraft frames, employing Gaussian process regression to model uncertainties in contact forces. This 2024 study, with 7 citations, enhances the reliability of automated assembly for high-rate production. Zhai’s research is pivotal for the aerospace industry’s shift toward flexible automation, offering robust solutions that reduce shape deviation and ensure safe, efficient assembly of lightweight composite structures. His work is widely recognized for bridging theoretical control methods with practical robotic applications, making him a key figure in modern manufacturing research.