Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Fuzzy-Neural Network Based Human-Machine Interface for Voice Controlled Robots Trained by a Particle Swarm Optimization

  • Watanabe, Keigo (Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University) ;
  • Chatterjee, Amitava (Electrical Engineering Department, Jadavpur University) ;
  • Pulasinghe, Koliya (Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University) ;
  • Izumi, Kiyotaka (Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University) ;
  • Kiguchi, Kazuo (Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University)
  • Published : 2003.09.01
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Abstract

Particle swarm optimization (PSO) is employed to train fuzzy-neural networks (FNN), which can be employed as an important building block in real life robot systems, controlled by voice-based commands. The FNN is also trained to capture the user spoken directive in the context of the present performance of the robot system. The system has been successfully employed in a real life situation for navigation of a mobile robot.

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