Ya-Xuan Wen
Papers
1
Total Citations
3
H-Index
1
About
Ya-Xuan Wen is a researcher at the forefront of smart manufacturing and industrial automation, with a focus on developing advanced sensing systems for robotic applications. Wen's most notable contribution is the development of a wireless mesh sensing system integrating high-sensitivity LiNbO3 vibration sensors, designed specifically for real-time robotic arm monitoring in Industry 4.0 environments. This work addresses critical needs in automated factories—accuracy, reproducibility, and abnormal detection—by enabling immediate feedback and corrective action. The system leverages the unique piezoelectric properties of lithium niobate to achieve exceptional vibration sensitivity, while the wireless mesh architecture ensures robust, scalable data transmission across complex manufacturing floors. Although the 2019 paper has garnered 3 citations to date, its significance lies in pioneering a practical, high-performance solution for the growing demand of multi-axis robot monitoring. Wen's research bridges the gap between sensor physics and industrial application, offering a pathway toward smarter, more responsive factories. This work positions Wen as an emerging contributor to the fields of wireless sensor networks, structural health monitoring, and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1