Junyang Yu

Papers

Total Citations

H-Index

About

Junyang Yu is a researcher in advanced manufacturing and robotic automation, with a focus on precision assembly and human-robot collaboration. Their most-cited work, "Squeezing force detection and signal processing for robot assisted pneumatic percussive riveting system" (2020, 7 citations), addresses a critical challenge in aerospace manufacturing: ensuring reliable rivet connections through real-time force monitoring. Yu developed novel signal processing algorithms to extract squeezing force from noisy percussive data, enabling robots to adaptively control riveting quality—a contribution that bridges the gap between traditional manual processes and fully automated assembly lines. This work has been cited by researchers exploring sensor fusion and adaptive control in industrial robotics, demonstrating its relevance to Industry 4.0 applications. Yu’s research integrates mechanical design, sensing, and control theory, offering practical solutions for high-stakes manufacturing environments where joint integrity is paramount. Their work is particularly notable for its direct industrial applicability, providing a foundation for safer, more consistent robotic riveting systems. As manufacturing increasingly demands precision and repeatability, Yu’s contributions continue to inform the development of intelligent, force-aware robotic systems.