Onis Brown

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About

Onis Brown is a researcher at the intersection of human-robot interaction and accessible programming, with a focus on enabling non-experts to design social behaviors for robots. Their key contribution lies in developing abstract visual programming tools that allow novice users—those without robotics or coding backgrounds—to intuitively program social robots for public spaces. Brown’s most-cited work, “Abstract Visual Programming of Social Robots for Novice Users” (2020), demonstrates how low-level social cues, such as gaze or gesture, can be made programmable through simplified interfaces, lowering barriers to entry in robotics. Although their citation count is modest (2 citations), this work is notable for addressing a critical gap: making social robot behavior design inclusive and democratic. Brown’s research has implications for education, assistive technology, and public-facing robotics, where ease of use is paramount. Their achievement lies in bridging the gap between complex robotic systems and everyday users, paving the way for broader adoption of social robots in community settings. For students and researchers, Brown’s work offers a compelling model of how to prioritize usability without sacrificing functionality in emerging technologies.