Lauren Eisenman
Papers
2
Total Citations
38
H-Index
2
About
Lauren Eisenman is a pioneering researcher at the intersection of developmental robotics and pediatric rehabilitation, whose work focuses on leveraging socially assistive robots to enhance early motor interventions for infants. Her primary contributions center on designing noncontact, humanoid robotic systems that use contingent reward learning and imitation to encourage leg-motion training in infants at risk for neurodevelopmental delays. Eisenman’s most cited paper, “Socially Assistive Infant-Robot Interaction: Using Robots to Encourage Infant Leg-Motion Training” (2019, 35 citations), established a foundational framework for using robots as interactive, socially engaging tools to positively influence infant movement patterns and support optimal neurodevelopmental outcomes. This work demonstrated how robots can serve as adaptive, noninvasive partners in early intervention, moving beyond traditional passive therapies. Her subsequent study (2019, 3 citations) further validated the feasibility of using humanoid robots in clinical settings. Eisenman’s research has significant implications for accessible, scalable rehabilitation technologies, bridging robotics, developmental science, and pediatric healthcare. Her innovative approach offers a promising pathway for early, engaging interventions that could transform motor skill development in vulnerable infant populations.
Research Focus
Key Achievements
Top Papers
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