My work in customized robotic rehabilitation focuses on designing individualized interventions that target specific motor impairments such as joint coupling and muscle weakness following neurological injury. By analyzing movement distributions and sensorimotor patterns unique to each patient, I develop robotic training protocols that modify the effective mechanical environment—through customized inertial dynamics, direction-dependent loading, and force-based shaping—to promote more functional and symmetric motor behavior. Rather than relying on rigid task repetition, these methods emphasize self-directed motor exploration and leverage fundamental mechanical principles to drive adaptive recovery. The overarching goal is to translate quantitative movement diagnostics into personalized robotic assistance that facilitates real-world skill transfer and long-term motor improvement.

Stroke survivor contrasts of acceleration-velocity distributions in planar arm movement. Individual's differences with respect neurally intact population.  Over-expression in specific gestures..
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Low Impedance Pulse Controller Architecture

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Student Collaboration: Modular robotics for education and research