Ming-Ying Hsiao
National Cheng Kung University, Fortune Institute of Technology
Papers
11
Total Citations
218
H-Index
6
About
Ming-Ying Hsiao is a distinguished researcher specializing in intelligent control systems, mobile robotics, and advanced fuzzy logic methodologies. His work sits at the dynamic intersection of autonomous navigation, control theory, and artificial intelligence, with particular emphasis on developing sophisticated controllers for mobile robotic platforms. Hsiao's most significant contributions include pioneering autonomous parking systems for carlike mobile robots, his most-cited work garnering 77 citations, which addressed critical challenges in obstacle avoidance and driver safety. His research into finite-time synergetic control for robot manipulators (56 citations) further demonstrated his ability to solve complex real-time control problems with practical engineering solutions. A recurring theme throughout his portfolio is the innovative application of interval type-2 fuzzy logic and sliding-mode control techniques to wheeled and omni-directional mobile robots — approaches that elegantly handle system uncertainties and external disturbances that challenge conventional controllers. His stereo vision-based target tracking research (31 citations) showcases his multidisciplinary reach into computer vision and sensor fusion. Collectively accumulating over 200 citations, Hsiao's body of work represents meaningful advances in making autonomous robotic systems more robust, intelligent, and safe — contributions that continue to inform researchers developing next-generation autonomous vehicles and robotic navigation systems.
Research Focus
Key Achievements
Top Papers
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- 2A finite time synergetic control scheme for robot manipulators56 citations · 2012
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