Qinghe Guan

Papers

Total Citations

H-Index

About

Qinghe Guan is a researcher whose work bridges robotics, precision engineering, and smart manufacturing. His primary research areas include robot calibration, kinematic-flexibility modeling, and process monitoring using accessible technologies. Guan’s most notable contribution is his 2024 study introducing the Levy flight and Sparrow Search Algorithm (LSSA) to optimize measurement poses for robot calibration. This method significantly enhances the absolute positioning accuracy of industrial robots—a critical limitation in high-precision applications—by improving both the efficiency and precision of calibration procedures. With 15 citations, this work has quickly gained attention in the robotics community. Additionally, Guan has explored the effectiveness of smartphones for position-oriented process monitoring (2023, 4 citations), demonstrating a practical, low-cost approach to real-time manufacturing oversight. His work is particularly valuable for researchers and engineers seeking to advance robot accuracy and democratize process monitoring tools. By combining algorithmic innovation with real-world applicability, Guan contributes to making precision robotics more accessible and reliable for industrial automation.