Miaojie Wu
Papers
1
Total Citations
12
H-Index
1
About
Miaojie Wu is a leading researcher in precision mechanical transmission systems, with a primary focus on the reliability and accuracy of RV reducers used in industrial robotics. Her most-cited work investigates the critical relationship between cycloid gear wear and transmission accuracy, addressing a key challenge in robotic performance degradation. By developing a novel method that combines numerical analysis with simulation, Wu has provided a systematic approach to understanding how wear volume impacts transmission error over time. This contribution is vital for predicting maintenance needs and improving the longevity of robotic systems. Her 2024 paper, with 12 citations, has quickly become a reference point for engineers and researchers working on gear wear modeling and precision reducer design. Wu’s work bridges the gap between theoretical wear mechanics and practical industrial applications, offering actionable insights for enhancing the operational reliability of robots in manufacturing. Her research is particularly valuable for students and engineers seeking to understand the degradation mechanisms that affect robotic precision.
Research Focus
Key Achievements
Top Papers
- 1