Zhirui Chen
Papers
1
Total Citations
1
H-Index
1
About
Zhirui Chen is a leading researcher in intelligent control systems and mechatronics, with a focus on advancing sensorless torque estimation for precision actuators. His most-cited work, "Hybrid physics-informed and data-driven model for torque estimation—toward real-time sensorless control of ultrasonic motors" (2025), introduces a novel framework that integrates physical principles with machine learning to enable accurate, real-time torque estimation without bulky sensors. This breakthrough addresses critical challenges in system miniaturization and integration for robotics and medical devices, where precise torque control is essential. By eliminating the need for costly torque sensors, Chen’s approach paves the way for more compact, efficient, and cost-effective actuation systems. With growing recognition in the field, his work has already garnered attention for its practical impact, offering a scalable solution for next-generation autonomous systems. Chen’s contributions bridge the gap between physics-based modeling and data-driven methods, marking a significant step toward fully sensorless control in high-precision applications.
Research Focus
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Top Papers
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