Papers
2
Total Citations
3
H-Index
1
About
Sun Ya is a researcher in rehabilitation robotics, with a focus on human-robot interaction and upper limb recovery after stroke. Her work addresses critical challenges in robotic therapy, particularly the quantitative assessment of axis misalignment between human joints and robotic systems. In her 2021 study, she developed a robot-assisted method to measure wrist joint misalignment, a key issue that can cause discomfort or injury during rehabilitation training—a problem largely overlooked in prior research. This contribution, though early in its citation impact (2 citations), lays important groundwork for safer, more effective robotic therapy. More recently, in 2024, Sun Ya explored the application of a dual upper limb task-oriented robotic system for stroke patients, integrating bilateral arm training with task-specific exercises. This system aims to enhance functional recovery and daily living activities, addressing a major need in post-stroke rehabilitation. With 1 citation to date, this work reflects her commitment to translating robotic technology into practical, patient-centered solutions. Sun Ya’s research is particularly valuable for students and researchers interested in the intersection of biomechanics, robotics, and neurorehabilitation, offering insights into how precise robotic alignment and bilateral training can improve clinical outcomes.
Research Focus
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Top Papers
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