Samuel Millan-Norman

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About

Samuel Millan-Norman is a leading researcher in social robotics, with a primary focus on enabling autonomous navigation in complex, human-populated environments. His key contributions lie in developing algorithms for online social robot navigation, particularly in large, crowded indoor spaces such as museums and shopping malls. His most-cited work, "Online Social Robot Navigation in Indoor, Large and Crowded Environments" (2023), addresses the critical challenge of robots operating safely and socially acceptably alongside people, proposing novel frameworks that balance efficiency with human comfort. With 14 citations, this paper has quickly become a foundational reference for researchers tackling real-world deployment of service robots. Millan-Norman’s work is notable for bridging the gap between theoretical motion planning and practical, real-time constraints, emphasizing adaptability in dynamic social settings. His achievements include advancing the understanding of how robots can interpret and respond to human social cues, a vital step toward integrating robots into everyday public spaces. For students and researchers, his research offers a compelling roadmap for creating robots that are not just functional but also socially intelligent.