Yili Peng
Papers
3
Total Citations
10
H-Index
2
About
Yili Peng is a researcher at the forefront of structural dynamics and robotics, with a focus on advancing the precision and reliability of industrial robots in high-stakes manufacturing environments. His key research areas include modal analysis, vibration suppression, and autonomous identification of dynamic parameters in robotic systems. Peng’s major contributions lie in developing innovative methods for extracting complete mode shapes and high-dimensional spatial modal parameters from industrial robots during actual cutting operations, using only limited sensors or milling-induced excitation. His work has direct implications for improving the accuracy and efficiency of robotic milling of large, complex surfaces. Notably, his 2024 paper on output-only mode shape identification using current sensors has garnered 7 citations, reflecting its practical impact. His 2025 studies on autonomous modal analysis and automatic identification of spatial parameters further push the boundaries of real-time dynamic characterization, addressing the critical challenge of vibration in robotic machining. Peng’s research is essential for engineers seeking to enhance robotic performance in precision manufacturing, offering a pathway to more adaptive and robust industrial automation.
Research Focus
Key Achievements
Top Papers
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