Papers
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3
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About
Xingyuan Li is a leading researcher in neurorehabilitation engineering, with a primary focus on post-stroke motor recovery using robotic exoskeletons. Their most cited work, a 2025 randomized controlled trial, investigates the effects of lower-extremity exoskeleton robot-assisted dual-task training versus conventional walking training on gait and postural control after stroke. This study addresses a critical gap in rehabilitation science by combining robotic assistance with cognitive-motor dual-task paradigms, demonstrating that integrated robotic training can significantly enhance both gait mechanics and balance control in stroke survivors. With 3 citations already in its first year, this work is rapidly gaining attention for its practical implications in clinical settings. Li’s contributions are notable for bridging the gap between advanced robotic technology and evidence-based rehabilitation protocols, offering new therapeutic tools that improve functional outcomes. Their research is particularly valuable for clinicians and engineers developing next-generation assistive devices, as it provides rigorous data on the comparative efficacy of robot-assisted dual-task training. Through this work, Li is helping to redefine post-stroke rehabilitation standards, making robotic interventions more accessible and effective for patients recovering from neurological injury.
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