Emily Kubin
Papers
2
Total Citations
21
H-Index
2
About
Emily Kubin’s research sits at the intersection of social robotics, human-robot interaction, and crowd psychology, where she investigates how autonomous systems can navigate socially complex environments. Her most cited work, “The Socially Invisible Robot Navigation in the Social World Using Robot Entitativity” (2018, 19 citations), introduces a real-time, data-driven algorithm that leverages psychological principles of group perception—specifically entitativity—to help robots move through crowds without drawing negative attention. This foundational contribution redefines how robots can blend into social spaces by mimicking the movement patterns of cohesive groups. In a related paper, “Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation” (2018, 2 citations), she extends this framework to autonomous vehicles, enabling them to interpret and respond to collective emotional cues in pedestrian groups. Kubin’s work is notable for translating psychological theories of social perception into practical engineering solutions, advancing the goal of seamless, unobtrusive human-robot coexistence. Her research has implications for service robots, autonomous vehicles, and any system that must operate in shared public spaces, making her a key voice in socially-aware navigation.
Research Focus
Key Achievements
Top Papers
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- 2