Qiushuang Guo
Papers
2
Total Citations
4
H-Index
2
About
Qiushuang Guo is a leading researcher in the dynamic characterization and vibration control of industrial robots, with a focus on enhancing the precision of robotic milling for large and complex surfaces. Their work addresses a critical challenge in modern manufacturing: accurately identifying the structural dynamics of robots during operation to suppress harmful vibrations. Guo’s major contributions include pioneering multi-joint active excitation methods that autonomously traverse the dynamic behavior of a milling robot’s workspace using only output data, eliminating the need for complex input measurements. They also developed an autonomous modal analysis technique that accounts for dynamic spatial sensitivity and excitation randomness, enabling real-time, in-situ identification of robotic structural parameters. These innovations directly improve milling accuracy and efficiency. With their most-cited papers already gaining attention in 2025, Guo’s research is foundational for next-generation adaptive machining systems, offering practical solutions for vibration suppression in industrial robotics. Their work stands out for its focus on fully autonomous, output-only analysis—a significant step toward intelligent, self-optimizing manufacturing processes.
Research Focus
Key Achievements
Top Papers
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- 2