Conference paper Open Access

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

Jonas Gonzalez-BIllandon; Lukas Grasse; Alessandra Sciutti; Matthew Tata; Francesco Rea


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3936610", 
  "title": "Cognitive Architecture for Joint Attentional Learning of word-object mapping with a Humanoid Robot", 
  "issued": {
    "date-parts": [
      [
        2019, 
        11, 
        8
      ]
    ]
  }, 
  "abstract": "<p>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.</p>", 
  "author": [
    {
      "family": "Jonas Gonzalez-BIllandon"
    }, 
    {
      "family": "Lukas Grasse"
    }, 
    {
      "family": "Alessandra Sciutti"
    }, 
    {
      "family": "Matthew Tata"
    }, 
    {
      "family": "Francesco Rea"
    }
  ], 
  "id": "3936610", 
  "event-place": "MACAU", 
  "type": "paper-conference", 
  "event": "International Conference on Intelligent Robots and Systems (IROS)"
}
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