Papers
6
Total Citations
96
H-Index
5
About
Sandra Cano is a researcher whose work sits at the compelling intersection of human-robot interaction, assistive technology, and inclusive education, with a particular focus on supporting children with Autism Spectrum Disorder (ASD). Her most influential contribution, a 2021 systematic review on affective communication for Socially Assistive Robots (SARs) — cited 41 times — critically examined how physical robots perceive, express, and respond emotionally, highlighting significant gaps in affective computing for child-centered social robotics. Building on this foundation, her 2023 design framework for social robots tailored to emotional communication in children with ASD (cited 20 times) offers practitioners a structured, evidence-based path for developing more effective assistive tools. Beyond assistive robotics, Cano has made meaningful strides in STEM education equity, proposing a gender-conscious methodological approach to educational robotics for Latin American schoolteachers, cited 17 times. Her research on robot-based video interventions during the COVID-19 pandemic further demonstrates her commitment to adaptive, technology-driven learning solutions. With a growing body of work now extending into higher education contexts, Cano's research consistently champions accessible, emotionally intelligent technology for vulnerable and underserved populations.
Research Focus
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Top Papers
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- 6Human-Robot Interaction in Higher Education: A Literature Review2 citations · 2025