HRI @ University of Melbourne
Robots and Agents that Work
With People
Human-facing AI systems are inevitably imperfect, and users rapidly form expectations about their competence and intent. Failures and uncertainty are not exceptional in real-world interaction; they are structural features of sociotechnical systems.
Research Themes
Human-Robot Interaction
Designing robots that collaborate naturally with people in real-world social and workplace environments, from crowded spaces to assistive care.
Learning from Demonstration
Teaching robots through human demonstrations and failure cases, enabling adaptive skill acquisition without explicit programming.
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Augmented & Extended Reality
Leveraging XR and haptic interfaces to enhance teleoperation, spatial understanding, and mixed-reality human-robot collaboration.
AI Agents & Multi-Agent Systems
Exploring HCI challenges in interactive multi-agentic systems, including social robots orchestrated by large language models.
Latest News
Oct 2025