Ipsita Sahin
Papers
4
Total Citations
40
H-Index
4
About
Ipsita Sahin is pioneering the intersection of soft robotics and pediatric rehabilitation, with a focused mission to create assistive wearable devices for infants with motor impairments. Her research centers on three key areas: soft pneumatic actuator design, closed-loop control systems, and infant action recognition. Sahin’s major contributions include the development of a pediatric soft robotic exosuit that uses fabric-based and silicone-casted actuators to assist upper extremity reaching tasks. She has advanced the field by implementing robust generalized proportional integral control for precise trajectory tracking, and by creating BabyNet—a lightweight neural network for recognizing infant reaching actions in unconstrained environments. Her work has garnered significant attention, with her most-cited papers accumulating over 40 citations collectively, including 13 citations each for her foundational papers on closed-loop position control and BabyNet. Notably, her 2024 study on actuator enclosure and anchoring configurations provides critical insights for optimizing soft exosuit performance in pediatric populations. Sahin’s research is not only technically innovative but also deeply impactful, offering a pathway toward autonomous, adaptive rehabilitation devices that could transform early intervention for infants with motor delays.
Research Focus
Key Achievements
Top Papers
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