Guohui Huang

Xi'an Jiaotong University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Guohui Huang is a researcher specializing in the dynamic modeling and vibration control of industrial robotic systems, with a particular focus on modal identification and structural compliance. His most-cited work, "Improved subspace modal identification of industrial robots" (2023), addresses a critical challenge in manufacturing automation: the low stiffness and high compliance of industrial robots, which can cause undesirable vibrations during operation. By refining subspace identification methods, Huang’s research enables more accurate characterization of robotic dynamics across different workspace configurations, directly contributing to enhanced precision and stability in automated processes. With 5 citations on this key paper, his work is gaining traction among engineers and researchers seeking to mitigate vibration-induced errors in flexible robotic arms. Huang’s contributions are particularly valuable for industries relying on high-accuracy tasks, such as machining and assembly, where even minor oscillations can compromise quality. His ongoing efforts to bridge theoretical modal analysis with practical robotic applications position him as an emerging voice in the field of robot dynamics and control.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Improved subspace modal identification of industrial robots
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Xi'an Jiaotong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago