Papers
6
Total Citations
73
H-Index
4
About
Ri Pan is a researcher specializing in robotic polishing systems, precision manufacturing, and intelligent control, with a particular focus on advancing the automation of optical component and mold surface finishing. Pan's most significant contributions center on the robot-assisted bonnet polishing system (RABPS), a technology valued for its cost-effectiveness and efficiency in optical manufacturing. A landmark 2021 study introducing an evaluation model for working stiffness in RABPS has garnered 35 citations, establishing Pan as a key voice in addressing one of the field's core challenges: insufficient robot stiffness that leads to vibration and machining inaccuracies. Building on this foundation, Pan developed impedance control strategies for constant-force polishing of curved molds and pursued systematic optimization of both static and dynamic performance in robotic polishing systems. More recently, Pan has integrated artificial intelligence—specifically XGBoost-based predictive modeling—to achieve quantitative surface quality control and improve polishing efficiency. Early work on dual cooperative manipulator trajectory planning reflects a broader interest in multi-robot coordination. Collectively, Pan's research bridges mechanical systems analysis, control theory, and machine learning, offering practical solutions that enhance precision and reliability in advanced robotic manufacturing environments.
Research Focus
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