QiuShuang Guo
Papers
1
Total Citations
4
H-Index
1
About
QiuShuang Guo is a researcher whose work centers on the dynamics and control of industrial robots, with a particular focus on improving machining precision in high-dimensional workspaces. Their most notable contribution is a pioneering study on regularized automatic frequency response function acquisition for milling robots, published in 2024. This work addresses a critical challenge in robotic machining—how to efficiently and accurately characterize a robot's dynamic behavior across its entire operational range, which is essential for suppressing chatter and enhancing surface quality. With 4 citations in its first year, this paper has already attracted attention from the robotics and manufacturing communities for its practical methodology. Guo’s research bridges the gap between theoretical dynamics and real-world automation, offering a systematic approach to frequency response measurement that reduces manual effort and increases reliability. Their achievements highlight a commitment to advancing smart manufacturing and robotic autonomy, making their work a valuable reference for students and researchers exploring robot dynamics, vibration control, or adaptive machining systems.
Research Focus
Key Achievements
Top Papers
- 1