On the use of ontologies as knowledge source for social robots the INSIGHT research project

• Jesús Martínez Gómez ; Ismael García Varea ; M. Julia Flores ; Luis de la Ossa ; Javier Ballesteros Jerez ^[1] ; Antonio Bandera ; Rebeca Marfil Robles ; Pilar Bachiller Burgos ; Pablo Bustos García de Castro
  1. [1] Universidad de Castilla-La Mancha

     Universidad de Castilla-La Mancha

     Ciudad Real, España

     
• Localización: Proceedings of the XXIV Workshop of Physical Agents: September 5-6, 2024 / coord. por Miguel Cazorla Quevedo , Francisco Gómez Donoso , Félix Escalona Moncholi , 2024, ISBN 978-84-09-63822-2, págs. 116-128
• Idioma: español
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• Resumen

  • As in many other disciplines, social robotics has been influenced by the advent of new trends in massive data acquisition and processing.

    While there are several areas where algorithms directly trained from data are exceedingly useful, such as object detection or speech recognition, the core reasoning of a robot still requires knowledge provided by human supervisors, rather than being directly derived from data. In this work, we analyse the role of ontologies and causal reasoning for this purpose, and we review the necessary steps to adapt existing ontologies to a specific use case within the INSIGHT research project.

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