The project ML3RI (pronounced /mlẹɾi/) is mainly funded by the Young Researcher (Jeunes Chercheuses et Jeunes Chercheurs) programme of the ANR, under grant agreement ANR-19-CE33-0008-01. Additional support has been received within the framework of the “Investissements d’avenir” program (ANR-15-IDEX-02).

ML3RI stands for Multi-modal multi-person low-level learning for robot interactions. The project aims to develop learning models and algorithms enabling a robot immersed in multi-person interactions to perceive/react with low-level multi-modal cues; and to develop realistic data generation techniques for the robust training of both the perception and actions models. The overall funding is around 310kEUR, more information about ML3RI can be found here.

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