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

6
H-Index
6
Papers
490
Total Citations
82
Avg Citations/Paper
🏆 Most Cited Paper
Review of machine learning methods in soft robotics
249 citations · 2021
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Seoul National University, Korea Automotive Technology Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago