Papers
9
Total Citations
144
H-Index
7
About
Panya Minyong is a robotics researcher whose career has been defined by a singular and clinically meaningful mission: translating the nuanced expertise of human massage therapists into intelligent robotic systems. Working primarily with multi-fingered robot hands, Minyong has pioneered control methodologies that bridge the gap between mechanical precision and the subtle, adaptive qualities of therapeutic touch. His most influential contributions center on hybrid impedance control frameworks, which enable robotic hands to dynamically respond to the variable stiffness of human skin and muscle tissue. His 2007 paper on identifying and controlling human skin muscle properties through multi-fingered systems has garnered 37 citations, while earlier foundational work on expert massage motion control (2004, 30 citations) and modeling of skin-muscle interactions (2006, 26 citations) established the theoretical scaffolding for the field. Notably, his early application of neural networks to reproduce expert massage forces (2002) demonstrated remarkable foresight into data-driven robotic learning. More recently, Minyong has extended his reach into iterative learning control augmented by expert systems, signaling continued evolution in his research approach. Collectively, his body of work represents a sustained and impactful effort to make therapeutic robotics both scientifically rigorous and practically humane.
Research Focus
Key Achievements
Top Papers
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- 2Expert massage motion control by multi-fingered robot hand30 citations · 2004
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