Irina Kobozeva
Papers
2
Total Citations
11
H-Index
2
About
Irina Kobozeva’s research lies at the intersection of computational linguistics and human-robot interaction, with a focus on developing dialogue systems for mobile robotic guides. Her major contributions center on formalizing dialogue management through rule-based models that integrate both visual and communicative cues. In her most-cited work, “Modelo computacional del diálogo basado en reglas aplicado a un robot guía móvil” (7 citations), she presents a detailed propositional dialogue model, speech act specifications, and speech block inventories for a museum guide robot. A related paper, “Module for Dialog Management in the Interaction System Between User and Mobile Robotic Guide” (4 citations), further elaborates on this by modeling dialogue as a network of state transitions influenced by visual and communicative factors. These contributions provide a foundational framework for creating more natural and context-aware interactions between humans and autonomous robots. Kobozeva’s work is notable for its practical application in real-world settings, such as museums, and for bridging theoretical dialogue models with robotic implementation. Her research continues to influence the development of intelligent, responsive robotic guides.
Research Focus
Key Achievements
Top Papers
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