Guiding Interaction Behaviors for Multi-modal Grounded Language Learning

WS 2017 Jesse ThomasonJivko SinapovRaymond Mooney

Multi-modal grounded language learning connects language predicates to physical properties of objects in the world. Sensing with multiple modalities, such as audio, haptics, and visual colors and shapes while performing interaction behaviors like lifting, dropping, and looking on objects enables a robot to ground non-visual predicates like {``}empty{''} as well as visual predicates like {``}red{''}... (read more)

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