Prototype-based Knowledge Representation for an Improved Human-robot Interaction

Abstract : We propose a knowledge representation based on prototype theory in order to improve human-robot interaction. Since robots are becoming increasingly important in our everyday life, one day they might be used to do the chores, e.g., in kitchens. In order to tidy objects, however, robots have to be able to find the places where items belong; thus they need to categorise them. We develop a paradigm that mimics human categorisation, in order to provide flexible, human-like solutions. In order to identify a suitable approach to the prototype theory, we augmented and implemented the approach by Hampton and the one described by Minda and Smith, and compared their performance. We found that prototype models represent similarities between objects well. Furthermore, we found that the approach described by Minda and Smith is preferable over Hampton's, although on the whole they do not differ to a great extent. We provide an idea how the approach by Minda and Smith — augmented by us — could be used in order to contribute to a human-like knowledge representation. One final question is to what extent the proposed knowledge representation is able to reflect human categorisations and if the resulting behaviour of a robot is intuitively understandable for users.
Type de document :
Article dans une revue
Kognitive Systeme, DuEPublico, Duisburg-Essen Publication Online 2015
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger
Contributeur : Alexandra Kirsch <>
Soumis le : vendredi 26 janvier 2018 - 13:52:55
Dernière modification le : lundi 29 janvier 2018 - 13:58:05
Document(s) archivé(s) le : vendredi 25 mai 2018 - 02:49:43


Fichiers produits par l'(les) auteur(s)


  • HAL Id : hal-01693637, version 1


Alisa Volkert, Alexandra Kirsch. Prototype-based Knowledge Representation for an Improved Human-robot Interaction. Kognitive Systeme, DuEPublico, Duisburg-Essen Publication Online 2015. 〈hal-01693637〉



Consultations de la notice


Téléchargements de fichiers