Shyamli Suneesh

University of Bristol, Lancaster University

Papers

Total Citations

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About

Shyamli Suneesh is a rising researcher at the intersection of socially assistive robotics, child-robot interaction, and AI transparency. Her work centers on designing and evaluating robots that can effectively support special education, with a particular focus on how explainability and trust shape children’s learning experiences. In her most-cited paper, “An Overview of Socially Assistive Robotics for Special Education” (2022, 4 citations), she provides a foundational synthesis of how robots can serve as therapeutic and educational tools for children with diverse needs. More recently, Suneesh has pioneered research on multimodal explainability in child-robot interaction (2025), exploring how age-appropriate explanations help children build trust and understanding—a domain largely overlooked in favor of adult users. Her work-in-progress on parental AI literacy and perceptions of robot transparency (2025) further examines how robot personality design influences family acceptance and educational outcomes. Though early in her career, Suneesh’s focus on explainability, transparency, and inclusive design positions her as a thoughtful contributor to the future of educational robotics, where technology must be both intelligent and understandable for its youngest users.