Papers
3
Total Citations
34
H-Index
3
About
Dr. Yi Hsing Chien is a robotics and control systems researcher whose work focuses on adaptive control, autonomous navigation, and intelligent systems for robotic platforms. His most notable contributions include the development of on-line adaptive Takagi-Sugeno (T-S) fuzzy-neural control for multi-link robot manipulators, a pioneering approach that enhances real-time trajectory tracking under uncertainty. This work, with 15 citations, has influenced subsequent research in adaptive control for complex robotic systems. Dr. Chien also advanced autonomous robotics through his design of a ramp detection and climbing system for tracked robots using the Kinect sensor (12 citations), enabling robust navigation in unstructured environments. His hybrid intelligent output-feedback control framework (7 citations) addresses trajectory tracking in uncertain nonlinear multivariable systems, bridging fuzzy logic and neural networks for improved stability and performance. These contributions demonstrate his impact on adaptive control theory and practical robotics, with applications spanning industrial manipulators to field robots. Dr. Chien’s research continues to inspire engineers developing intelligent, autonomous systems capable of operating in challenging real-world conditions.
Research Focus
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