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The project aims to investigate fundamentals of social multi-party human-robot interaction and collect the data and knowledge required to build social robots that are able to handle collaborative attention and co-present interaction. 

In the project we will employ state-of-the art motion- and gaze tracking on a large scale as the basis for modelling and implementing critical non-verbal behaviours such as joint attention, mutual gaze and backchannels in situated human-robot collaborative interaction, in an adaptive, fluent and context sensitive way.