A Fuzzy-Neural Network Based Human-Machine Interface for Voice Controlled Robots Trained by a Particle Swarm Optimization

Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/806

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DC Field	Value	Language
dc.contributor.author	Watanabe, K	-
dc.contributor.author	Chatterjee, A	-
dc.contributor.author	Pulasinghe, K	-
dc.contributor.author	Izumi, K	-
dc.contributor.author	Kiguchi, K	-
dc.date.accessioned	2022-01-28T04:14:33Z	-
dc.date.available	2022-01-28T04:14:33Z	-
dc.date.issued	2003-09-25	-
dc.identifier.uri	http://localhost:80/handle/123456789/806	-
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	Korean Institute of Intelligent Systems	en_US
dc.relation.ispartofseries	Proceedings of the Korean Institute of Intelligent Systems Conference;Pages 411-414	-
dc.subject	Fuzzy-Neural Network	en_US
dc.subject	Human-Machine Interface	en_US
dc.subject	Voice Controlled	en_US
dc.subject	Robots Trained	en_US
dc.subject	Particle Swarm Optimization	en_US
dc.title	A Fuzzy-Neural Network Based Human-Machine Interface for Voice Controlled Robots Trained by a Particle Swarm Optimization	en_US
dc.type	Article	en_US
Appears in Collections:	Research Papers - Open Access Research Research Papers - SLIIT Staff Publications Research Publications -Dept of Information Technology

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