A context-aware attention system is fundamental for regulating the robot behaviour in a social interaction since it enables social robots to actively select the right environmental stimuli at the right time during a multiparty social interaction. This contribution presents a modular context-aware attention system which drives the robot gaze. It is composed by two modules: the scene analyzer module manages incoming data flow and provides a human-like understanding of the information coming from the surrounding environment; the attention module allows the robot to select the most important target in the perceived scene on the base of a computational model. After describing the motivation, we report the proposed system and the preliminary test. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Zaraki, A., Mazzei, D., Lazzeri, N., Pieroni, M., & De Rossi, D. (2013). Preliminary implementation of context-aware attention system for humanoid robots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8064 LNAI, pp. 457–459). Springer Verlag. https://doi.org/10.1007/978-3-642-39802-5_65
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