Alessandra Tomassetti

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About

Alessandra Tomassetti’s research lies at the intersection of developmental psychology, robotics, and cognitive science, with a focus on how principles of infant learning can inspire autonomous robotic systems. Her most cited work, “The infant development timeline and its application to robot shaping” (2011, 42 citations), provides a foundational framework for translating the sensorimotor and cognitive milestones of early infancy into computational models. This paper outlines how cumulative, self-driven learning in robots can be shaped by developmental stages, offering a roadmap for building machines that learn without explicit programming. Tomassetti’s contributions extend to experimental tools, as seen in her co-authored work on “The ‘Mechatronic Board’” (2012, 8 citations), a platform designed to study intrinsic motivations—curiosity, exploration, and mastery—across humans, monkeys, and humanoid robots. This interdisciplinary approach bridges neuroscience and robotics, enabling comparative studies of how organisms and machines seek novelty and competence. While her citation counts reflect a niche but impactful audience, Tomassetti’s work is notable for its bold integration of developmental theory into robotics, influencing researchers in epigenetic robotics and lifelong learning. Her research continues to shape how we understand the emergence of intelligent behavior in both biological and artificial systems.