Papers
2
Total Citations
15
H-Index
2
About
Xiaonan Pan is a rising researcher in intelligent robotics and electro-hydraulic systems, with a focus on advancing automation in manufacturing. Her work centers on two key areas: the dynamic modeling of servo valves and the development of digital twin frameworks for industrial robots. In her most-cited paper (2023, 12 citations), Pan provides a comprehensive analysis of the Rotary Direct Drive Electro-Hydraulic Pressure Servo Valve (RDDPV), establishing critical dynamics equations for its motor, slide valve, and bias mechanism—a contribution that enhances precision in robotic actuation. Her 2024 study (3 citations) introduces a simple, novel digital twin framework for industrial robots, leveraging Robot Web Service (RWS) and Unity 3D for real-time simulation, making intelligent manufacturing more accessible and replicable. Though early in her career, Pan’s work demonstrates a practical, systems-level approach to bridging hardware and software in robotics, with potential impacts on automation efficiency and control. Her research is particularly notable for its emphasis on replicability and real-world application, offering valuable insights for engineers and researchers in mechatronics and Industry 4.0.
Research Focus
Key Achievements
Top Papers
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