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About

Emmanuel Ayedoun is a researcher at the forefront of socially intelligent robotics, focusing on how machines can perceive, adapt to, and influence human social norms within groups. His work centers on developing decision-making models that enable robots to navigate complex interpersonal dynamics, such as maintaining appropriate physical distance in human-robot groups and considering collective norms and fairness. In a key 2022 study, Ayedoun introduced a norm-aware navigation model that allowed a mobile robot to dynamically adjust its personal space in response to changing group interactions, a critical step toward seamless human-robot coexistence. His 2023 work on the Ultimatum Game further demonstrated how a group norm-aware agent could promote fairness, challenging conventional assumptions about robotic behavior. Ayedoun also explores applications in remote sports watching, designing human-robot interaction environments that enhance users’ sense of presence. Though his most-cited papers have accrued modest citation counts (2–4 each), their novelty and interdisciplinary relevance—spanning robotics, social psychology, and human-computer interaction—signal a promising trajectory. His research is particularly timely as society increasingly integrates robots into public and domestic spaces.