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About

Guilhem Buisan is a leading researcher in socially intelligent human-robot interaction (HRI), with a focus on developing robots that can collaborate naturally and flexibly with people in public and shared spaces. His work centers on human-aware task planning, situated communication, and cognitive architectures for robots. As a key contributor to the EU-funded MuMMER project, Buisan helped create a social robot system capable of interacting with users in a shopping mall, integrating audio-visual sensing and social signal processing (17 citations). He introduced the "Director Task," a psychology-inspired benchmark for assessing cognitive and interactive robot architectures (13 citations). Buisan has also advanced human-aware task planning by explicitly reasoning about human and robot decisions, actions, and reactions (9 citations), and developed methods for efficient, ontology-based referring expression generation to ensure unambiguous communication in collaborative tasks (9 citations). His work on evaluating the impact of time-to-collision constraints and head gaze on robot navigation in corridors (2 citations) addresses practical challenges of robot movement in confined spaces. Buisan’s research is distinguished by its methodological rigor, including principles for user studies in HRI, and its direct application to real-world, human-centered robotics.