Chih-Yung Shih
Papers
1
Total Citations
57
H-Index
1
About
Chih-Yung Shih is a leading researcher in intelligent control systems and robotics, with a primary focus on developing model-free, sensorless control strategies for complex robotic manipulators. His most cited work, "Adaptive fuzzy-neural-network velocity sensorless control for robot manipulator position tracking" (2010, 57 citations), introduces an innovative AFNNVSC scheme that achieves high-precision position tracking without requiring joint velocity or acceleration measurements. This contribution is particularly significant because it overcomes a fundamental challenge in robotics: the difficulty of implementing model-free control when velocity sensors are unavailable or impractical. By integrating adaptive fuzzy logic with neural networks, Shih’s approach enables robust, real-time control in uncertain environments, advancing the field of intelligent automation. His work has been widely cited by researchers developing sensorless and adaptive control methods, underscoring its lasting impact on both theoretical and applied robotics. Shih’s research continues to influence the design of more autonomous, efficient robotic systems, making him a notable figure in control engineering and mechatronics.
Research Focus
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Top Papers
- 1