Robot learning from verbal interaction: A brief survey

Heriberto Cuayáhuitl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This survey paper highlights some advances and challenges in robots that learn to carry out tasks from verbal interaction with humans, possibly combined with physical manipulation of their environment. We first describe what robots have learnt from verbal interaction, and how do they do it. We then enumerate a list of research limitations to motivate future work in this challenging and exciting multidisciplinary area. This brief survey points out the need of bringing robots out of the lab, into uncontrolled conditions, in order to investigate their usability and acceptance by end users.

Original languageEnglish
Title of host publicationAISB Convention 2015
PublisherSociety for the Study of Artificial Intelligence and the Simulation of Behaviour
Publication statusPublished - 2015
EventAISB Convention 2015 - Canterbury, United Kingdom
Duration: 20 Apr 201522 Apr 2015

Conference

ConferenceAISB Convention 2015
CountryUnited Kingdom
CityCanterbury
Period20/04/1522/04/15

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction

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  • Cite this

    Cuayáhuitl, H. (2015). Robot learning from verbal interaction: A brief survey. In AISB Convention 2015 Society for the Study of Artificial Intelligence and the Simulation of Behaviour.