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

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dc.contributor.authorWatanabe, K
dc.contributor.authorChatterjee, A
dc.contributor.authorPulasinghe, K
dc.contributor.authorIzumi, K
dc.contributor.authorKiguchi, K
dc.date.accessioned2022-01-28T04:14:33Z
dc.date.available2022-01-28T04:14:33Z
dc.date.issued2003-09-25
dc.description.abstractParticle 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.identifier.urihttps://rda.sliit.lk/handle/123456789/806
dc.language.isoenen_US
dc.publisherKorean Institute of Intelligent Systemsen_US
dc.relation.ispartofseriesProceedings of the Korean Institute of Intelligent Systems Conference;Pages 411-414
dc.subjectFuzzy-Neural Networken_US
dc.subjectHuman-Machine Interfaceen_US
dc.subjectVoice Controlleden_US
dc.subjectRobots Traineden_US
dc.subjectParticle Swarm Optimizationen_US
dc.titleA Fuzzy-Neural Network Based Human-Machine Interface for Voice Controlled Robots Trained by a Particle Swarm Optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication

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