Mengge Wang

Papers

Total Citations

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About

Mengge Wang is a pioneering researcher at the intersection of rehabilitation robotics and brain-computer interfaces (BCIs), with a primary focus on developing intelligent, patient-centered technologies for lower limb motor recovery. Her work addresses the critical need for safe, adaptive robotic systems that can respond to individual patient needs, particularly for stroke survivors. Wang’s most cited paper, "Adaptive patient-cooperative compliant control of lower limb rehabilitation robot" (2024, 12 citations), introduces a novel control framework that allows robots to adjust their assistance in real-time based on patient effort, enhancing both safety and comfort during therapy. This contribution is foundational for creating more natural and effective human-robot interaction in clinical settings. Additionally, her research on "A P300 Brain-Computer Interface for Lower Limb Robot Control Based on Tactile Stimulation" (2022) explores non-invasive neural control pathways, demonstrating how tactile-evoked potentials can enable patients to command robotic exoskeletons without relying on residual muscle function. While her citation counts are still growing, Wang’s work represents a significant step toward integrating compliant control and BCI technologies, promising more accessible and responsive rehabilitation solutions for individuals with severe motor impairments.