Hongyu Wan

Chinese Academy of Sciences

Papers

4

Total Citations

35

H-Index

4

About

Hongyu Wan is a researcher at the forefront of industrial robotics, specializing in robot calibration, error compensation, and the design of compliant exoskeletons. Their work addresses a critical challenge in manufacturing: improving the absolute positioning accuracy of robots under real-world, heavy-duty conditions. Wan’s major contributions include pioneering a unified kinetostatic error model combined with Gaussian Process Regression, a hybrid analytical and data-driven approach that compensates for both geometric and non-geometric errors—such as joint compliance and beam deformation—in long-stroke Cartesian and industrial robots. Their most cited work, "A Comprehensive On-Load Calibration Method for Industrial Robots" (2024, 19 citations), has set a new standard for on-load accuracy enhancement. Additionally, Wan has explored high-torque-density joint design for compliant lower-limb exoskeletons, bridging industrial precision with human-assistive robotics. With a growing citation footprint and a clear trajectory from foundational calibration theory to practical, high-impact applications, Hongyu Wan is shaping the future of accurate, adaptable robotic systems for both factory floors and wearable technologies.

Research Focus

Key Achievements

4
H-Index
4
Papers
35
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Comprehensive On-Load Calibration Method for Industrial Robots Based on a Unified Kinetostatic Error Model and Gaussian Process Regression
19 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago