Xiangqian Shi
Papers
10
Total Citations
267
H-Index
7
About
Xiangqian Shi is a leading researcher in soft robotics for neurorehabilitation, with a focus on restoring hand function after stroke. Their work centers on developing soft, wearable robotic gloves and actuators that integrate rehabilitation, spasticity evaluation, and task-oriented training. Shi’s major contributions include creating a soft robotic hand that improved hand function in chronic stroke survivors (64 citations) and a soft actuator that simultaneously rehabilitates and evaluates finger spasticity (56 citations). They also pioneered probabilistic model-based learning control for soft pneumatic gloves (45 citations) and developed kirigami-inspired flexible sensors for dynamic posture perception in soft robots (24 citations). Notably, Shi’s high-performance bionic artificial muscle, ExoMuscle, mimics skeletal muscle architecture (22 citations), and their recent randomized controlled trial demonstrated the efficacy of personalized EMG-driven soft robotic hand training (10 citations). With over 260 total citations, Shi’s innovative, patient-centered designs are advancing stroke rehabilitation, offering precise, adaptive solutions that bridge robotics and clinical therapy.
Research Focus
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