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About

Kailynn Mannella is a rising leader in the field of neurorehabilitation robotics, with a focused mission to restore upper-limb function for individuals living with Multiple Sclerosis (MS). Her research sits at the intersection of biomechanics, haptic robotics, and adaptive training algorithms. Mannella’s major contributions include the development of adaptive, individualized robotic training programs for the wrist, designed to improve neuromuscular control and induce cross-education—where training one limb yields strength gains in the untrained limb. Her 2024 SWOT analysis on robotic systems for MS rehabilitation, which has already garnered 14 citations, provides a critical roadmap for integrating virtual and augmented environments into clinical practice. She has also pioneered work using surface EMG to map forearm muscle activity during wrist perturbations, offering foundational insights into sensorimotor impairments. Through her scoping review on muscular strength adaptations following robotic rehabilitation, Mannella has highlighted a crucial gap in the literature, pushing the field to consider strength outcomes alongside motor control. With a growing citation record and a 2025 publication exploring cross-education effects, her work is shaping the next generation of personalized, robotic-assisted therapy for MS.