Ching‐Wen Liao
Papers
3
Total Citations
78
H-Index
3
About
Ching-Wen Liao is a robotics researcher whose work bridges dynamic control and human-robot interaction. Her primary research areas include ball robot (Ballbot) dynamics, sliding-mode control, and emotion recognition systems. Liao’s most significant contribution is in the modeling and control of Ballbots with inverse mouse-ball drives, where she developed a complete dynamic model for robots moving on flat terrain and implemented sliding-mode control for self-balancing and position control—a foundational approach cited 39 times in her 2008 paper. She further advanced this work with a multi-loop control strategy (22 citations) that enabled more robust stability and positioning. In human-robot interaction, Liao pioneered an interactive emotion recognition system using Support Vector Machine, combining Haar wavelet transform and PCA to achieve real-time emotion detection (17 citations). Her work is notable for integrating rigorous mathematical modeling with practical control implementations, making her contributions valuable for researchers in mobile robotics and affective computing. Liao’s research demonstrates a rare combination of mechanical design, control theory, and machine learning, positioning her as a versatile contributor to autonomous systems.
Research Focus
Key Achievements
Top Papers
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