Patrice Caire

Papers

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About

Patrice Caire’s research sits at the intersection of human-robot interaction, multiagent systems, and security, with a particular focus on making autonomous systems both safer and more socially attuned. In his most-cited work, “A Perspective of Security for Mobile Service Robots” (2017, 10 citations), Caire addresses the critical vulnerabilities in mobile service robotics, proposing frameworks to safeguard these systems against cyber-physical threats—a contribution that has become increasingly foundational as robots enter public and domestic spaces. His earlier work, “Computing Coalitions in Multiagent Systems: A Contextual Reasoning Approach” (2015, 5 citations), advances the theory of cooperative decision-making by introducing a context-aware method for forming agent coalitions, enabling more adaptive and efficient collective behavior. Perhaps most distinctive is his single case study, “Investigating Breakdowns in Human-Robot Interaction” (2017, 5 citations), where he applies conversation analysis to video data of a NAO robot in a museum. This work reveals how turn-taking mismatches between humans and robots can lead to communication breakdowns, offering a micro-level, empirically grounded approach to designing more fluid human-robot dialogues. Caire’s interdisciplinary methodology—bridging robotics, security, and social science—positions him as a thoughtful contributor to the future of trustworthy, socially intelligent autonomous systems.