Papers
1
Total Citations
6
H-Index
1
About
Xianhua Li is a researcher in rehabilitation robotics and human-robot interaction, with a primary focus on developing intelligent assistive technologies for upper limb motor recovery. Their most-cited work, "Performance-based Assistance Control for Upper Limb Robotic Mirror Therapy" (2024, 6 citations), introduces a novel control framework that adapts robotic support in real-time based on a patient's active performance during mirror therapy. This contribution addresses a critical gap in conventional robotic rehabilitation by enabling personalized, patient-driven therapy that can enhance neuroplasticity and motor learning. Li's approach integrates principles from control theory, biomechanics, and clinical rehabilitation, offering a scalable solution for stroke and injury recovery. Though early in their career, this work has already garnered attention for its potential to improve therapy outcomes and reduce therapist burden. Li's research stands at the intersection of engineering and clinical practice, aiming to make robotic rehabilitation more adaptive, effective, and accessible for diverse patient populations.
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