Towards a Synthetic Tutor Assistant: The EASEL Project and its Architecture

V. Vouloutsi, M. Blancas, R. Zucca, P. Omedas, Dennis Reidsma, Daniel Patrick Davison, Vasiliki Charisi, Frances Martine Wijnen, F.M. Wijnen, Jan van der Meij, Vanessa Evers, D. Cameron, S. Fernando, R. Moore, T. Prescott, D. Mazzei, M. Pieroni, L. Cominelli, R. Garofalo, D. De RossiP. Verschure

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Robots are gradually but steadily being introduced in our daily lives. A paramount application is that of education, where robots can assume the role of a tutor, a peer or simply a tool to help learners in a specific knowledge domain. Such endeavor posits specific challenges: affective social behavior, proper modelling of the learner’s progress, discrimination of the learner’s utterances, expressions and mental states, which, in turn, require an integrated architecture combining perception, cognition and action. In this paper we present an attempt to improve the current state of robots in the educational domain by introducing the EASEL EU project. Specifically, we introduce the EASEL’s unified robot architecture, an innovative Synthetic Tutor Assistant (STA) whose goal is to interactively guide learners in a science-based learning paradigm, allowing us to achieve such rich multimodal interactions.
Original languageUndefined
Title of host publicationBiomimetic and Biohybrid Systems, Proceedings of the 5th International Conference on Living Machines
EditorsN.F. Lepora, A. Mura, M. Mangan, P.F.M.J. Verschure, M. Desmulliez, T.J. Prescott
Place of PublicationSwitzerland
Number of pages12
ISBN (Print)978-3-319-42416-3
Publication statusPublished - Jul 2016

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • EWI-27233
  • EC Grant Agreement nr.: FP7/611971
  • METIS-318526
  • IR-101886
  • EC Grant Agreement nr.: FP7/341196

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