Chi-Ying Chang
Papers
1
Total Citations
3
H-Index
1
About
Chi-Ying Chang is a leading researcher in advanced sensing systems and intelligent automation, with a core focus on integrating high-sensitivity vibration sensors into wireless mesh networks for industrial robotics. Their most cited work, "Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO3 Vibration Sensors for Robotic Arm Monitoring" (2019), addresses the critical demands of Industry 4.0 by enabling real-time, high-accuracy monitoring of multi-axis robotic arms. This system enhances abnormal detection and immediate feedback, directly improving precision and reproducibility in automated factories. With 3 citations, this foundational paper has influenced subsequent research in wireless sensor networks and condition-based maintenance. Chang’s contributions are pivotal for advancing smart manufacturing, where reliable, low-latency sensing is essential for error detection and process optimization. Their work bridges materials science—using lithium niobate (LiNbO3) for superior sensitivity—and practical robotics, offering a scalable solution for industrial automation. As a researcher, Chang exemplifies the integration of novel sensor materials with wireless communication, driving the future of responsive, data-driven manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1