Lenka Bajčetić

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About

Lenka Bajčetić is a researcher at the intersection of artificial intelligence, robotics, and cognitive science, with a primary focus on developing socially aware machines capable of natural language communication. Her key research areas include situated semantic agents, theory of mind in AI, and context-aware human-robot interaction. Bajčetić’s most notable contribution is the Leolani system, a reference machine designed to engage in open-domain learning through dialogue, enabling a robot to acquire new concepts, recognize companions, and track properties of both. This work, published in 2018 and garnering 12 citations, models a “theory of mind” that allows the robot to understand and adapt to social contexts. In her 2019 paper on a communicative robot, she further advanced this framework by describing a drive-driven learning mechanism that supports continuous, open-ended knowledge acquisition from natural conversation. Her 2019 work on modelling context awareness for a situated semantic agent demonstrates her commitment to grounding AI in real-world environments. Though her citation counts are modest, Bajčetić’s research is pioneering in its ambition to create robots that learn about us and the world through genuine, situated interaction, laying groundwork for more empathetic and adaptable AI companions.