Qitao Tan
Papers
1
Total Citations
1
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1
About
Qitao Tan is a leading researcher in neurorehabilitation engineering, with a focus on understanding how robotic exoskeletons can drive neural recovery after stroke. His work bridges the gap between assistive technology and neuroscience, investigating how different modes of robotic training—passive versus assistive—differentially remodel the brain's motor networks. In his landmark 2025 randomized controlled trial, Tan demonstrated that assistive lower-limb exoskeleton training induces more targeted and beneficial neuronal network reorganization than passive movement alone, offering critical insights for optimizing rehabilitation protocols. This study, already garnering attention in the field, provides a mechanistic basis for designing smarter, patient-responsive exoskeletons that actively engage the nervous system. Tan's contributions are shaping the next generation of neurorehabilitation tools, moving beyond simple mechanical assistance toward truly adaptive, neuroplasticity-driven therapy. His work is essential reading for students and researchers interested in the intersection of robotics, motor control, and brain recovery.
Research Focus
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