Fangchen Yin
Papers
10
Total Citations
96
H-Index
6
About
Fangchen Yin is a leading researcher in intelligent robotic machining, with a primary focus on the precision processing of natural stone. His work centers on developing advanced control and prediction systems for robotic manipulators used in carving, grinding, and polishing complex stone geometries. Yin’s major contributions include pioneering error prediction and compensation technologies, as evidenced by his most-cited work (32 citations), which addresses the core challenge of machining accuracy for stone-carving robots. He has further advanced the field by integrating nonlinear disturbance observers and adaptive terminal sliding mode control with radial basis function neural networks to enhance trajectory tracking and anti-interference capabilities. His research also demonstrates a strong data-driven approach, employing machine learning models like improved QPSO-SVM and IWOA-SVR to predict milling forces and surface roughness, directly improving process stability and product quality. With over 90 total citations across his top publications, Yin’s work is pivotal for enabling high-efficiency, high-quality automated processing of high-value, complex-shaped stone products, reducing waste and environmental impact in the stone industry.
Research Focus
Key Achievements
Top Papers
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- 9An industrial robot-based sawing method for natural stone sculpture2 citations · 2024
- 10Modeling of Chatter Stability for the Robot Milling of Natural Marble1 citations · 2024