Papers
6
Total Citations
490
H-Index
6
About
Subyeong Ku is a leading researcher at the intersection of soft robotics, wearable assistive devices, and intelligent garment manufacturing. Her work addresses fundamental challenges in modeling, control, and human-robot interaction for deformable systems. Ku’s highly cited review of machine learning methods in soft robotics (249 citations) has become a foundational resource for the field. She made a significant clinical contribution with a soft wearable robotic ankle-foot-orthosis for post-stroke patients (158 citations), demonstrating how lightweight, low-cost designs can extend rehabilitation from clinics to daily life. In manufacturing, Ku pioneered delicate fabric handling using a bio-inspired soft gripper with embedded microneedles, and developed an automated sewing system integrating machine vision and deep learning for smart garment production. Her recent work on a modularized soft robotic arm with integrated touch sensing and proprioceptive feedback (2024) advances safe physical human-robot interaction. Ku’s research consistently bridges soft material innovation with practical applications—from medical rehabilitation to textile automation—earning her recognition as a key contributor to next-generation robotic systems that are adaptive, safe, and industrially viable.
Research Focus
Key Achievements
Top Papers
- 1Review of machine learning methods in soft robotics249 citations · 2021
- 2A Soft Wearable Robotic Ankle-Foot-Orthosis for Post-Stroke Patients158 citations · 2019
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