Papers
8
Total Citations
71
H-Index
6
About
Sung-Gwi Cho is a pioneering researcher at the intersection of soft robotics, human-machine interaction, and affective touch technology. His work centers on two transformative areas: non-invasive hand motion recognition through forearm deformation sensing, and the development of robots capable of delivering emotionally resonant tactile care. Cho’s most impactful contribution is a machine-learning system that interprets hand gestures by measuring forearm deformation with a distance sensor array (20 citations), offering a compelling alternative to traditional sEMG-based interfaces. In robotic manipulation, he engineered the NAIST Openhand M2S gripper, a versatile two-finger design uniquely adapted for pulling and tucking textiles—a notoriously difficult task for automation. His research extends into affective robotics, where he has pioneered gentle stroke motions using human-imitation hands, demonstrating that robots can produce subjective and physiological positive emotional responses in both younger adults and older populations. This work, with cumulative citations exceeding 70, addresses critical caregiving shortages by enabling robots to deliver pleasant touch. Cho’s contributions bridge engineering and human well-being, advancing practical applications from prosthetic control to elderly care.
Research Focus
Key Achievements
Top Papers
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- 5Pleasant Stroke Touch on Human Back by a Human and a Robot7 citations · 2023
- 6Delivery of pleasant stroke touch via robot in older adults6 citations · 2024
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