Yuling Zhang

University of Shanghai for Science and Technology

Papers

Total Citations

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About

Yuling Zhang is a leading researcher in rehabilitation robotics, with a focus on adaptive control systems and soft exoskeleton technologies that restore mobility for stroke survivors and elderly patients. Her work addresses the critical challenge of personalizing robotic therapy to match individual patient needs. In her highly cited 2020 study (22 citations), she developed an adaptive method for gait event detection that overcomes the limitations of fixed-parameter systems, enabling rehabilitation robots to accurately respond to varying stride frequencies across different users. Building on this, her 2024 research on adaptive impedance control (20 citations) introduces a predictive framework that allows upper limb rehabilitation robots to dynamically adjust training parameters in real-time, significantly improving patient-robot interaction. Most recently, Zhang has pioneered a novel pneumatic soft exoskeleton rehabilitation glove (3 citations) featuring a multi-air-chamber hip joint design that drives finger extension from the palm outward, offering a promising solution for hand rehabilitation. Her cumulative contributions—spanning gait, upper limb, and hand rehabilitation—demonstrate a systematic approach to making robotic therapy more responsive, comfortable, and effective, directly impacting the quality of life for patients with neurological impairments.