Kayla Yaksich
Papers
1
Total Citations
4
H-Index
1
About
Kayla Yaksich is a researcher at the forefront of wearable rehabilitation robotics, specializing in the intricate physical human–robot interaction that underpins next-generation assistive technologies. Her work centers on modeling multi-contact point dynamics between anthropomorphic fingers and soft robotic exo-digits, addressing a critical gap in rehabilitation robotics: the need to account for distributed forces and biomechanical variation during therapy. In her most cited paper (2023, 4 citations), Yaksich introduced a quasi-static model that captures the nuanced motion of soft exo-digits during physical interaction, providing a foundational framework for more responsive and personalized robotic rehabilitation. This contribution is pivotal for developing devices that adapt to individual users, enhancing recovery outcomes for those with hand impairments. While her citation count is still growing, Yaksich’s work represents a significant step toward bridging theoretical modeling with practical, user-centered design in soft robotics. Her research promises to advance the control of wearable robots, making rehabilitation more effective and accessible—a notable achievement for an emerging scholar in this dynamic field.
Research Focus
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Top Papers
- 1