Hao Ding
Papers
1
Total Citations
27
H-Index
1
About
Hao Ding is a researcher specializing in robotics and precision mechanical systems, with a particular focus on the dynamic modeling and characterization of transmission components used in industrial automation. His most recognized contribution lies in advancing the understanding of friction phenomena in strain wave gears — the compact, high-precision gearboxes widely deployed in small and medium-sized industrial robots. In his influential 2018 work, which has accumulated 27 citations, Ding proposed a structurally elegant yet powerful friction model that simultaneously accounts for speed-dependent, load-dependent, and position-dependent friction effects. This represents a meaningful step forward from earlier models that typically addressed only one or two of these interdependent factors. By capturing the full complexity of friction behavior within a computationally tractable framework, his work provides robotics engineers and control system designers with a practical tool for improving motion accuracy, compensating for nonlinear disturbances, and enhancing the overall performance of robotic joints. His research sits at the valuable intersection of mechanical engineering and robotics control, offering contributions that bridge theoretical modeling with real-world industrial application.
Research Focus
Key Achievements
Top Papers
- 1