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About

Yuki Sasamoto is a pioneering researcher in developmental robotics, with a primary focus on understanding the origins of infant-directed speech (IDS) and the mechanisms of early language acquisition. His work bridges robotics and developmental psychology, using vocal robots to model how infants learn to speak and interact with caregivers. In his most-cited paper, "Towards understanding the origin of infant directed speech: A vocal robot with infant-like articulation" (2013, 4 citations), Sasamoto explores how features in infants, such as articulation and vocalization, may trigger caregivers to shift between infant-directed and adult-directed speech. This research provides critical insights into the bidirectional dynamics of early communication. Another key contribution, "Mutually constrained multimodal mapping for simultaneous development: Modeling vocal imitation and lexicon acquisition" (2010, 4 citations), introduces a novel framework for how robots can simultaneously learn vocal imitation and word meanings through multimodal sensory input, mimicking infant development. Sasamoto also designed the articulation mechanism for the infant-like vocal robot "Lingua" (2014, 2 citations), a notable achievement that enables more realistic modeling of infant vocal tracts. Though his citation counts are modest, his work is foundational for researchers interested in embodied cognition, language emergence, and human-robot interaction, offering a unique computational perspective on developmental processes.