An emotional model for a guide robot

  • Álvarez M
  • Galán R
  • Matía F
 et al. 
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Abstract

This paper presents the structure and operation principles of an emotional model. It is a dynamic state-space model where state variables represent the emotional state. Model matrices are time variant. A method based on fuzzy inference systems is developed to calculate the matrix coefficients at each time step. The simulation results of the guide robot case study are presented.

Author-supplied keywords

  • Affective computing
  • autonomous robots
  • fuzzy systems
  • intelligent control

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Authors

  • Marta Álvarez

  • Ramón Galán

  • Fernando Matía

  • Diego Rodríguez-Losada

  • Agustín Jiménez

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