Max Robotics — Global Service Robot Directory + US Certification

About

Samuel Spaulding is a pioneering researcher at the intersection of social robotics, personalized learning, and human-robot interaction, whose work has fundamentally advanced our understanding of how robots can serve as effective educational companions. His research centers on developing intelligent, adaptive robot tutors capable of responding to children's cognitive and emotional states in real time — a challenge that sits at the heart of making automated tutoring as effective as human instruction. Spaulding's most influential contribution, "Affective Personalization of a Social Robot Tutor for Children's Second Language Skills" (2016, 306 citations), demonstrated that robots could meaningfully modulate a student's affective experience to improve learning outcomes. Complementing this, his 2012 study on physical robot presence (248 citations) established that embodiment itself confers measurable cognitive benefits over screen-based alternatives — a finding with lasting implications for EdTech design. His work on personalizing tutors to individual learning differences (216 citations) and applying reinforcement learning for adaptive literacy interventions (141 citations) further cemented his reputation as a leader in long-term, real-world robot deployments. Through the Tega robot platform and extensive classroom studies, Spaulding has translated theoretical advances into practical systems, making his research uniquely impactful for educators, developers, and policymakers alike.