Papers
2
Total Citations
10
H-Index
2
About
Yifei Wen’s research lies at the intersection of robotics, structural integrity, and intelligent navigation systems. His work addresses critical challenges in both robotic mechanics and autonomous library systems. Wen’s most cited paper, “Fatigue life estimation for simply-supported pipeline of robots under hybrid excitation” (2017, 7 citations), provides a foundational method for predicting the durability of robotic components subjected to complex, multi-source vibrations—a key contribution to ensuring long-term reliability in industrial and service robots. In a complementary vein, his 2018 study on QR code image processing for book access robots tackles the practical limitations of library automation. By proposing a mechanism that integrates QR codes with positioning and navigation, Wen offers a cost-effective, high-precision alternative to traditional inertial and binocular visual systems, directly addressing the mapping accuracy issues that hinder autonomous book retrieval and information recognition. Though his citation counts are modest, Wen’s work demonstrates a focused effort to bridge theoretical fatigue analysis with real-world robotic applications, particularly in specialized environments like libraries. His contributions are notable for their practical orientation, offering solutions that enhance both the mechanical lifespan and operational precision of autonomous systems.
Research Focus
Key Achievements
Top Papers
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