Hugo Romat

Papers

Total Citations

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About

Hugo Romat is a researcher focused on human-robot interaction, specifically on making collaboration between humans and robots more intuitive and natural. His work centers on understanding how humans perceive and control joint actions with robotic partners, aiming to replace rigid programming with fluid, socially-aware communication. His most-cited paper, "Natural Human-Robot Interaction Using Social Cues" (2016, 10 citations), uses a "pick and place" experiment to study how social cues—such as gaze, gesture, and timing—can enable seamless collaboration. This foundational research demonstrates that robots can interpret and respond to human intent without explicit commands, paving the way for more adaptive and user-friendly robotic systems. A follow-up paper (5 citations) further refines these findings, reinforcing his contribution to the field. While his citation counts are modest, Romat’s work is notable for its early and practical exploration of social dynamics in human-robot teams, a topic that has since become central to modern robotics. His research is particularly valuable for students and engineers interested in designing robots that work alongside people in shared spaces, from factories to homes.