Alaina Tulskie
Papers
1
Total Citations
4
H-Index
1
About
Alaina Tulskie is a rising researcher in human-robot interaction, with a focused expertise in the mechanics and social dynamics of object handovers. Her work addresses a critical gap in the field: while human-human handover data has driven major advances in robotics, existing datasets largely ignore the preferences of both giver and receiver during the exchange. Her most-cited paper, "Studying How Object Handoff Orientations Relate to Subject Preferences on Handover" (2023, 4 citations), pioneers a data-driven approach to capturing these preferences, moving beyond small-scale studies to inform more intuitive and socially aware robotic behavior. By systematically analyzing how orientation choices during a handoff correlate with user satisfaction, Tulskie provides a foundational framework for designing robots that can anticipate and adapt to human comfort. Her contributions are particularly impactful for assistive robotics and collaborative manufacturing, where seamless physical interaction is essential. Though early in her career, Tulskie’s work signals a shift toward more human-centered design in robot manipulation, promising safer and more natural collaborations between people and machines.
Research Focus
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Top Papers
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