Simulating Human-Robot Interactions for Dialogue Strategy Learning - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Simulating Human-Robot Interactions for Dialogue Strategy Learning

Grégoire Milliez
Emmanuel Ferreira
  • Fonction : Auteur
  • PersonId : 772440
  • IdRef : 192901885
Michelangelo Fiore
  • Fonction : Auteur
  • PersonId : 960679
Rachid Alami
Fabrice Lefèvre

Résumé

Many robotic projects use simulation as a faster and easier way to develop, evaluate and validate software components compared with on-board real world settings. In the human-robot interaction field, some recent works have attempted to integrate humans in the simulation loop. In this paper we investigate how such kind of robotic simulation software can be used to provide a dynamic and interactive environment to both collect a multimodal situated dialogue corpus and to perform an efficient reinforcement learning-based dialogue management optimisation procedure. Our proposition is illustrated by a preliminary experiment involving real users in a Pick-Place-Carry task for which encouraging results are obtained.
Fichier principal
Vignette du fichier
simulating-human-robot_3_.pdf (1.17 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01071216 , version 1 (03-10-2014)

Identifiants

Citer

Grégoire Milliez, Emmanuel Ferreira, Michelangelo Fiore, Rachid Alami, Fabrice Lefèvre. Simulating Human-Robot Interactions for Dialogue Strategy Learning. SIMPAR2014, Oct 2014, Bergamo, Italy. pp.62-73, ⟨10.1007/978-3-319-11900-7_6⟩. ⟨hal-01071216⟩
261 Consultations
718 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More