The Mobot Platform - Showcasing Multimodality In Human-Assistive Robot Interaction

Acquisition and annotation of a multimodal-multisensory data set of human-passive rollator-carer interactions have enabled the analysis of related human behavioural patterns and the definition of the MOBOT human-robot communication model. The MOBOT project has envisioned the development of cognitive robotic assistant prototypes that act proactively, adaptively and interactively with respect to elderly humans with slight walking and cognitive difficulties. To meet the project's goals, a multimodal action recognition system is being developed to monitor, analyse and predict user actions with a high level of accuracy and detail. In the same framework, the analysis of human behaviour data that have become available through the project's multimodal-multisensory corpus, have led to the modelling of Human-Robot Communication in order to achieve an effective, natural interaction between users and the assistive robotic platform. Here, we discuss how the project's communication model has been integrated in the robotic platform in order to support a natural multimodal human-robot interaction.