A framework for studying human-robot-robot interaction using a multi-robot cocktail bar scenario.
A framework for constructing knowledge graphs that personalize smalltalk dialog in social human-robot interaction scenarios.
Introduces composition operators as an interactive alternative to parameter tuning when exploring linear dimensionality reduction embeddings.
Empirical comparison of remote and in-person laboratory setups for studying task performance with social robots.
Visual analytics approach for exploring complex behavioural patterns in high-dimensional biological datasets.
Reinforcement learning approach for energy-efficient green light assistance across diverse traffic conditions.
Combines force-directed graph layouts with semantic exploration techniques for categorical high-dimensional data.
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