Sorawit Stapornchaisit
Tokyo Institute of Technology, Nagaoka University of Technology, Kasetsart University
Papers
4
Total Citations
34
H-Index
4
About
Sorawit Stapornchaisit is a researcher at the intersection of human-robot interaction, neural engineering, and haptic systems. Their work focuses on how users perceive and control robotic systems, particularly through electromyographic (EMG) and electroencephalographic (EEG) signals. A key contribution is demonstrating that EEG can objectively reflect user satisfaction during EMG-controlled robot hand operations—a finding with over 11 citations that bridges subjective experience with neural markers. Stapornchaisit also advanced force sensorless control for haptic devices based on delta robots, enabling 3D workspace analysis without physical sensors, and explored how delayed input in EMG-controlled robots affects brain activity and subjective response. Their research on bilateral control using Jacobian matrices for delta robots further expanded the usability of parallel robots as human interface devices. With multiple papers accumulating 34+ citations, Stapornchaisit’s work is foundational for designing more intuitive, responsive, and satisfying human-robot interaction systems, particularly for assistive and rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
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- 4Bilateral control in delta robot by using Jacobian matrix5 citations · 2015