Olga Kolesnikova

Papers

Total Citations

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About

Olga Kolesnikova is a researcher in human-robot interaction and natural language processing, with a focus on developing robust spoken dialogue systems for service robots. Her work centers on creating language-independent dialogue management modules that enable intuitive communication between humans and robots in real-world settings, such as museums and shopping environments. In her most cited paper (7 citations), she presents a formal computational model of dialogue control for a mobile guide robot, detailing propositional dialogue models, speech acts, and speech blocks. Her subsequent work (2 citations) extends this framework to a shopping assistant robot, addressing the longstanding challenge of building reliable spoken dialogue management systems. Kolesnikova’s contributions are notable for their emphasis on modular, rule-based architectures that can be adapted across different languages and domains, advancing the practical deployment of conversational robots. Her research bridges theoretical dialogue modeling with applied robotics, offering valuable insights for students and researchers working on natural language interfaces for autonomous systems.