Mutual assistance between speech and vision for human-robot interaction

Abstract

Among the cognitive abilities a robot companion must be endowed with, human perception and speech understanding are both fundamental in the context of multimodal human-robot interaction. First, we propose a multiple object visual tracker which is interactively distributed and dedicated to two-handed gestures and head location in 3D. An on-board speech understanding system is also developed in order to process deictic and anaphoric utterances. Characteristics and performances for each of the two components are presented. Finally, integration and experiments on a robot companion highlight the relevance and complementarity of our multimodal interface. Outlook to future work is finally discussed.