Papers
1
Total Citations
1
H-Index
1
About
Huijie Yu is a researcher in robotics and intelligent control systems, with a primary focus on the application of fuzzy neural networks to robotic motion and trajectory control. Their most-cited work, "Controller of robot arm's trail based on fuzzy neural network" (2011), introduces a novel controller derived from the dynamic model of a robot arm, designed to enhance precision in trajectory tracking. By comparing system simulations using both a fuzzy controller and a fuzzy neural network controller, Yu demonstrates the superior performance of the neural-fuzzy approach in managing complex, nonlinear dynamics. Although this key paper has garnered 1 citation, it reflects an early and foundational contribution to the integration of neural networks with fuzzy logic for real-time robotic control—a field that continues to grow in importance for automation and industrial robotics. Yu’s work contributes to the broader effort of making robotic systems more adaptive and accurate, laying groundwork for subsequent advances in intelligent control.
Research Focus
Key Achievements
Top Papers
- 1Controller of robot arm's trail based on fuzzy neural network1 citations · 2011