Yuyuan Huang
Papers
1
Total Citations
82
H-Index
1
About
Yuyuan Huang is a leading researcher in the fields of robotics, nonlinear control systems, and intelligent automation. His work focuses on advancing the precision and robustness of complex robotic systems through innovative control strategies. Huang’s most cited paper, "Adaptive fractional-order non-singular terminal sliding mode control based on fuzzy wavelet neural networks for omnidirectional mobile robot manipulator" (2021, 82 citations), exemplifies his major contribution: integrating fractional-order calculus with adaptive neural networks to overcome chattering and singularity issues in sliding mode control. This approach enables omnidirectional mobile manipulators to achieve superior trajectory tracking and disturbance rejection, even under uncertain dynamics. His research has significant implications for industrial automation, service robotics, and autonomous systems operating in unstructured environments. With over 80 citations on this seminal work alone, Huang’s methodologies are widely adopted by control engineers and roboticists. His achievements highlight a rare synthesis of theoretical rigor and practical applicability, making him a key figure in the evolution of intelligent, adaptive robotic control.
Research Focus
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Top Papers
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