Yewon Na

Papers

1

Total Citations

2

H-Index

1

About

Yewon Na is a rising researcher at the forefront of wearable robotics and human–machine interaction, with a focus on restoring and augmenting upper-limb function. Her work uniquely integrates soft wearable bioelectronics, deep learning, and sensory feedback to create intelligent exoskeletons that respond to human intention. In her highly cited 2023 study, Na developed an upper-limb exoskeleton that predicts user movement and provides real-time strength augmentation, addressing the decline in musculoskeletal strength caused by aging and stroke. This system moves beyond manual operation by incorporating sensor-driven feedback and intention prediction, marking a significant advance in assistive robotics. Though early in her career, Na’s contributions have already garnered attention, with her flagship paper accumulating citations that underscore its relevance to rehabilitation engineering and human augmentation. Her interdisciplinary approach—merging materials science, machine learning, and biomechanics—positions her as a promising innovator in the next generation of wearable technologies. Na’s work not only aims to restore lost function but also to enhance human capability, offering a glimpse into a future where exoskeletons seamlessly collaborate with their users.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent upper-limb exoskeleton integrated with soft wearable bioelectronics and deep-learning for human intention-driven strength augmentation based on sensory feedback
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 16

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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