Ulyana Kurylo
Papers
2
Total Citations
20
H-Index
2
About
Ulyana Kurylo is a researcher specializing in human-robot interaction and socially assistive robotics, with a particular focus on developing intelligent systems that can meaningfully support humans in social and task-based contexts. Her work sits at the intersection of cognitive science, robotics, and computational modeling, exploring how robots can better perceive and respond to human needs in real time. One of Kurylo's most notable contributions is her investigation into human eye gaze patterns as behavioral indicators of when a person requires assistance from a socially assistive robot — a 2019 study that has garnered 17 citations and represents a significant step toward building robots with more naturalistic, non-intrusive awareness of human states. Complementing this, her work on computational models of social assistance seeks to address a critical theoretical gap in the field: defining *how* robots should decide to intervene and assist, rather than simply demonstrating *that* they can. This model-driven approach offers a principled framework for guiding robot behavior in assistance scenarios. Through her research, Kurylo contributes foundational thinking to a rapidly growing field, helping bridge the gap between robotic capability and genuine, theory-grounded social utility.
Research Focus
Key Achievements
Top Papers
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