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Published November 8, 2019 | Version v1
Conference paper Open

Cognitive Architecture for Joint Attentional Learning of word-object mapping with a Humanoid Robot

  • 1. Italian Institute of technology, University of Genova
  • 2. University of Lethbridge
  • 3. Italian Institute of technology

Description

Since infancy humans can learn from social context to associate words with their meanings, for example associating names with objects. The open-question is which computational framework could replicate the abilities of toddlers in developing language and its meaning in robots. We propose a computational framework in this paper to be implemented on a robotics platform to replicate the early learning process of humans for the specific task of word-object mapping.

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