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About

Wookhyun Park is a rising researcher at the intersection of soft robotics, rehabilitation engineering, and human-robot collaboration. His work focuses on developing wearable robotic systems and quantitative evaluation methods to improve stroke rehabilitation and human motor control understanding. Park’s most cited paper, “A Wearable Soft Robot for Stroke Patients’ Finger Occupational Therapy and Quantitative Measures on the Joint Paralysis” (2020, 15 citations), introduces a novel soft robotic glove that enables both therapy and precise paralysis assessment, bridging a critical gap between treatment and objective measurement. In related work, he pioneered machine learning-based evaluation of wrist paralysis using kinematic coefficients (5 citations), offering a data-driven alternative to subjective clinical scales. Park also investigates fundamental sensorimotor control, as seen in his study on visuomotor differences between dominant and non-dominant hands for effective human-robot collaboration (5 citations). His contributions are notable for integrating soft robotics with quantitative analytics, advancing personalized rehabilitation. With a growing citation record and a focus on translating robotic technologies into clinical practice, Park is establishing himself as a key contributor to the future of assistive and collaborative robotics.