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About

Brian Mac Namee’s research bridges artificial intelligence, human-robot interaction, and augmented reality, with a focus on how machines perceive and communicate within physical environments. His most-cited work, "Robot perception errors and human resolution strategies in situated human–robot dialogue" (2017, 18 citations), explores how robots’ sensor inaccuracies affect real-time conversation with humans and how people naturally adapt to resolve misunderstandings—a critical insight for designing more robust collaborative robots. Earlier, he demonstrated physics realism in augmented reality with "Forked!" (2009, 8 citations), showing how real and virtual objects can convincingly interact, advancing immersive AR applications. In robotics, his work on RFID and compass sensors for indoor robot localisation and navigation (2021, 7 citations) addresses practical challenges in autonomous movement. Mac Namee also investigates the broader impact of sensor errors on human-computer dialogue (2014), revealing how perception failures cascade into communication breakdowns. His contributions are foundational for creating perceptually aware, dialogue-capable systems that operate reliably alongside humans.