Published November 8, 2019
| Version v1
Conference paper
Open
Cognitive Architecture for Joint Attentional Learning of word-object mapping with a Humanoid Robot
Authors/Creators
- 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.