Papers
27
Total Citations
876
H-Index
14
About
Rong Yan is a leading researcher in the field of robotic milling and advanced manufacturing, with a particular focus on machining dynamics, vibration control, and precision optimization in industrial robot systems. His work addresses one of the most pressing challenges in modern manufacturing: enabling robots to perform high-precision, complex machining tasks typically reserved for rigid CNC machine tools. Yan's most celebrated contribution is his comprehensive review of robotic milling challenges and approaches (2021, 186 citations), which has become a foundational reference in the field. Complementing this, his investigations into posture-dependent stiffness optimization (2018, 168 citations) established critical methodologies for maximizing machining accuracy by strategically configuring robot joint positions during milling operations. His sustained work on chatter detection and stability prediction — spanning machine learning-based detection using VMD-SVM models, regenerative chatter analysis, and low-frequency chatter investigation — demonstrates a deep, evolving commitment to understanding and suppressing vibration-induced errors in robotic systems. With over 700 cumulative citations, Yan's research has meaningfully advanced the practical deployment of industrial robots in precision manufacturing environments, providing engineers and researchers with actionable tools for stability prediction, posture planning, and real-time error compensation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Investigation of the low-frequency chatter in robotic milling60 citations · 2023
- 6Rapid prediction of posture-dependent FRF of the tool tip in robotic milling55 citations · 2020
- 7
- 8
- 9
- 10