Claudia Pateras

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About

Claudia Pateras is a pioneering researcher in human-robot interaction and spoken dialogue systems, with a particular focus on how machines interpret and act upon vague, natural language instructions. Her work addresses a critical challenge in robotics: enabling robots to understand and execute tasks described by imprecise human language, such as “the big box” or “very close to the door.” Her most-cited paper, “Understanding referring expressions in a person-machine spoken dialogue” (2002, 11 citations), lays foundational groundwork for mobile robotic task execution under dialogue control, where identifying task targets from natural language descriptions is paramount. Pateras’s contributions are notable for bridging the gap between computational linguistics and autonomous robotics, developing models that allow robots to resolve ambiguous referring expressions in real-time. Her research has influenced subsequent work in situated dialogue systems and human-robot collaboration, demonstrating how vague terms can be systematically grounded in physical environments. Though her citation count is modest, her early work remains a touchstone for researchers tackling the intersection of language understanding and robotic action, highlighting the enduring challenge of making machines truly responsive to human communication.