An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior

Rosario Sorbello, Antonio Chella, Giorgio Vassallo, Giovanni Pilato, Francesco Cinquegrani, Salvatore Maria Anzalone

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9 Citazioni (Scopus)

Abstract

In this paper we propose an Entertainment Humanoid Robot model based on Latent Semantic Analysis, that tries to exhibit an emotional behavior in the interaction with human. Latent Semantic Analysis (LSA), based on vector space allows the coding of the words semantics by specific statistical computations applied to a large corpus of text. We illustrate how the creation and the use of this emotional conceptual space can provide a framework upon which to build “Latent Semantic Behavior” because it simulates the emotionalassociative capabilities of human beings. This approach integrates traditional knowledge representation with intuitive capabilities provided by geometric and sub-symbolic information modeling. To validate the effectiveness of our approach we have simulated an Humanoid Robot Robovie-M on dInfoBots a linux based framework developed in our Mobile Robot Lab
Lingua originaleEnglish
Titolo della pubblicazione ospiteLECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Pagine234-245
Numero di pagine10
Stato di pubblicazionePublished - 2008

Serie di pubblicazioni

NomeLECTURE NOTES IN COMPUTER SCIENCE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cita questo

    Sorbello, R., Chella, A., Vassallo, G., Pilato, G., Cinquegrani, F., & Anzalone, S. M. (2008). An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior. In LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (pagg. 234-245). (LECTURE NOTES IN COMPUTER SCIENCE).