Yanli Zhao
Papers
1
Total Citations
2
H-Index
1
About
Yanli Zhao is a researcher whose work centers on advancing pneumatic actuation and control systems for automation, with a particular focus on addressing the challenges posed by nonlinear hysteresis in force control. Their key research areas include feedforward control strategies, pneumatic cylinder dynamics, and the development of data-driven models to enhance precision in industrial applications. Zhao’s major contribution lies in designing a data-driven feedforward force control method for single-acting pneumatic cylinders, effectively compensating for hysteresis—a critical issue that degrades performance in tasks like polishing, robotic grasping, and humanoid robotics. By leveraging empirical data to model and counteract these nonlinearities, their work improves the accuracy and reliability of pneumatic systems, which are vital in automation. Although early in its citation impact, with 2 citations for their 2025 paper, this research represents a foundational step toward more robust, intelligent actuation. Zhao’s focus on bridging theoretical control challenges with practical automation needs marks them as an emerging contributor to the field, with potential for significant influence as their methods gain traction in industry and academia.
Research Focus
Key Achievements
Top Papers
- 1