Automatic Adaptation of a Natural Language Interface to a Robotic System

  • Authors:
  • Ramón P. Ñeco;Óscar Reinoso;José M. Azorín;José M. Sabater;M. Asunción Vicente;Nicolás García

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
  • Year:
  • 2002

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Abstract

This paper shows an application of four neural networks architectures for the automatic adaptation of the voice interface to a robotic system. These architectures are flexible enough to allow a nonspecialist user to train the interface to recognize the syntax of new commands to the teleoperated environment. The system has been tested in a real experimental robotic system applied to perform simple assembly tasks, and the experiments have shown that the networks are robust and efficient for the trained tasks.