Papers
149
Total Citations
7,588
H-Index
45
About
Chun-Yi Su is a distinguished researcher whose work spans the intersecting frontiers of robotics, intelligent control systems, and human-robot interaction. His scholarship has made transformative contributions to adaptive and neural network-based control, robotic exoskeletons, teleoperation, and autonomous mobile systems. Su's highly influential body of work demonstrates a consistent drive to solve the most demanding challenges in modern robotics: how machines can operate reliably under uncertainty, interact safely with humans, and execute complex tasks with precision. Among his most celebrated contributions is the development of neural-dynamic optimized model predictive control for mobile robot trajectory tracking (399 citations), alongside groundbreaking work on bimanual robot coordination with guaranteed global stability (391 citations). His research on robotic exoskeletons—spanning upper and lower limb rehabilitation (319, 248, 227, and 191 citations)—has advanced the practical viability of assistive and rehabilitative robotics using biological signal integration. His teleoperation control framework combining wave variables and neural networks (327 citations) addresses critical challenges in remote robotic operation. Su has also advanced reinforcement learning for humanoid manipulation and adaptive fuzzy control for dual-arm systems. With well over 2,800 cumulative citations across these ten papers alone, his impact on intelligent robotics is both deep and far-reaching.
Research Focus
Key Achievements
Top Papers
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- 3Teleoperation Control Based on Combination of Wave Variable and Neural Networks327 citations · 2016
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