Papers
2
Total Citations
6
H-Index
2
About
Mingda Yang is a robotics researcher focused on advancing medical and industrial automation through intelligent, real-time robotic systems. His primary research areas include ultrasound-guided surgical robotics, robot-assisted percutaneous needle placement, and automated inspection technologies for electrical equipment. Yang’s most notable contribution is the development of an ultrasound-guided miniature hand-eye integrated robot for percutaneous needle placement (2024), which integrates real-time imaging with precise robotic manipulation to improve targeting accuracy while reducing radiation exposure and invasiveness. This work, already cited 4 times, addresses critical challenges in minimally invasive procedures. Additionally, Yang proposed a real-time wavelet transform inspection algorithm for switchgear circuit breaker trolley compliance (2021), enabling robots to perform high-precision, automated quality inspections in industrial settings. By combining Kalman filtering with wavelet decomposition, his method enhances the reliability of torque signal analysis for safety-critical equipment. With a growing citation record and innovations bridging surgical robotics and industrial automation, Yang’s work demonstrates a commitment to creating safer, more efficient robotic systems for both clinical and industrial applications.
Research Focus
Key Achievements
Top Papers
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