Yanan Zhao
Papers
1
Total Citations
11
H-Index
1
About
Dr. Yanan Zhao is a leading researcher in precision motion control and real-time trajectory generation, with a focus on multi-axis systems such as computer numerical control (CNC) machine tools and robotic manipulators. Their seminal work introduces the **convolution-based velocity-smoothing principle**, a transformative approach that enables smooth, jerk-limited feedrate planning without the computational overhead of traditional iterative methods. This innovation allows for real-time parametric curve interpolation, achieving maximum permissible speed while respecting axial drive constraints—a critical advance for high-speed, high-accuracy manufacturing. Zhao’s most-cited paper (2025, 11 citations) has already garnered significant attention for its practical impact, offering a computationally efficient solution that eliminates the need for pre-processing or repeated calculations. Their contributions bridge the gap between theoretical control theory and industrial application, directly improving throughput and surface quality in automated machining. By decoupling velocity planning from geometric complexity, Zhao’s work empowers engineers to implement adaptive, constraint-aware motion in resource-limited embedded systems. This research is poised to influence next-generation robotics and digital manufacturing, where real-time responsiveness and precision are paramount.
Research Focus
Key Achievements
Top Papers
- 1