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Title: A Fuzzy-Neural Network Based Human-Machine Interface for Voice Controlled Robots Trained by a Particle Swarm Optimization
Authors: Watanabe, K
Chatterjee, A
Pulasinghe, K
Izumi, K
Kiguchi, K
Keywords: Fuzzy-Neural Network
Human-Machine Interface
Voice Controlled
Robots Trained
Particle Swarm Optimization
Issue Date: 25-Sep-2003
Publisher: Korean Institute of Intelligent Systems
Series/Report no.: Proceedings of the Korean Institute of Intelligent Systems Conference;Pages 411-414
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.
URI: http://localhost:80/handle/123456789/806
Appears in Collections:Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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