Xiaoli Qiu
Papers
1
Total Citations
1
H-Index
1
About
Xiaoli Qiu is a researcher at the forefront of rehabilitation robotics, with a focused expertise in developing intelligent control systems for lower limb assistive devices. Her work directly addresses the growing global need for effective post-stroke rehabilitation, targeting the restoration of motor function in patients with significant mobility impairments. Qiu’s major contribution is the introduction of a novel following control method that synergistically combines Model Predictive Control (MPC) with a Fiducial Marker system. This approach enables a rehabilitation robot to anticipate and smoothly adapt to a patient’s intended movements, creating a more natural, responsive, and safer therapy session compared to traditional rigid control schemes. While her most-cited paper is recent, its innovative integration of predictive algorithms with precise visual tracking marks a significant step forward in human-robot interaction for clinical settings. This work lays a critical foundation for more adaptive and patient-centric rehabilitation technologies, promising to enhance recovery outcomes and quality of life for individuals with neurological injuries.
Research Focus
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Top Papers
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