My main line of scientific research is on Human-Interactive Robot Learning, an interdisciplinary research area concerned with enabling humans to teach robots through (natural) interaction. I tackle this topic from both computational and human factors perspectives, researching new interactive learning algorithms, interaction paradigms and interfaces, and models of human teaching behavior.

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In addition to this line of research, I am also interested in human-AI co-creativity, in non-verbal communication with robots, and in the intersection between the performing arts and robotics.

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My work (alongside wonderful students and collaborators) has been published at peer-reviewed conferences and journals across robotics, AI, human-robot interaction, and more (see Publications page).​​

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For a broad overview of my scientific work, you can consult the recorded talk below (CMU, 2024):