Max Robotics — Global Service Robot Directory + US Certification

About

Michela Bogliolo is a leading researcher at the intersection of educational robotics and human-robot interaction, with a focus on how children perceive and collaborate with social robots in classroom settings. Her work is pivotal in understanding the social dynamics between young learners and autonomous systems, particularly in group tasks. Bogliolo’s most cited study (2022, 9 citations) investigates the impact of training school teachers to use robots as educational tools, revealing how such training shifts educators’ perceptions and readiness to integrate robotics into curricula. Her 2023 exploratory study (6 citations) examines Italian students’ expectations and perceptions of social robots during an educational program, highlighting the nuanced ways children attribute social roles to robots like iCub and Nao. More recently, her 2025 paper (2 citations) explores children’s strategies when responding to robot advice during collaborative group tasks, offering fresh insights into trust and decision-making in human-robot teams. Bogliolo’s contributions are foundational for designing effective, child-centered educational technologies, and her work is increasingly cited by researchers in developmental robotics and pedagogy. Her research not only advances theoretical understanding but also provides practical frameworks for deploying robots in schools, making her a key voice in the future of AI-enhanced education.