Papers
1
Total Citations
14
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1
About
Dr. Miao Chen is a leading figure in rehabilitation robotics, with a focused expertise in developing intelligent control systems for assistive devices. Her primary research centers on iterative learning control (ILC) and its application to cable-driven robotic systems for post-stroke hand rehabilitation. Dr. Chen’s most cited work, "An iterative learning controller for a cable-driven hand rehabilitation robot" (2017, 14 citations), introduces a high-order ILC that leverages the inherent repetitiveness of rehabilitation exercises. This innovation significantly enhances the precision and adaptability of robotic therapy, allowing for more effective motor function recovery. By addressing the critical challenge of human-robot interaction in repetitive tasks, her contributions have laid the groundwork for more responsive and patient-specific rehabilitation technologies. Dr. Chen’s research bridges control theory and clinical application, demonstrating a clear impact on the design of next-generation therapeutic robots. Her work is essential reading for engineers and clinicians seeking to improve stroke rehabilitation outcomes through advanced robotics.
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