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The application of spiking neural networks in autonomous robot control
Title The application of spiking neural networks in autonomous robot control Par.title Aplikácia impulzných neurónových sietí v navigačnom systéme autonómneho robota Author info Peter Trhan Author Trhan Peter 1975- (100%) UMBFP05 - Katedra informatiky
Source document Computing and informatics. Vol. 29, no. 5 (2010), pp. 823-847. - Bratislava : Institute of Informatics Slovak Academy of Sciences, 2010 Keywords spiking neural network genetické algoritmy - genetic algorithms navigation systems mobilné roboty - mobile robots trajectory control impulzné neurónové siete navigačné systémy riadenie trajektórie Language English Country Slovak Republic systematics 004.7 Annotation Artificial neural networks have a wide range of applications nowadays in which they are used for intelligent information processing. This paper deals with an application of spiking neural networks in autonomous mobile robot control. The topology of the implemented spiking neural networks was developed through a modified genetic algorithm and through the process of autonomous interaction with the scene environment. Since the genetic algorithm did not use a crossover operator we adapted the mutation operator adding a constraint that prevented creation of a new generation of population with weak individuals in comparison with the previous generation of population. The paper proposes a parallel combination of both left and right local spiking neural network as well as a practical implementation of this proposition in the form of an intelligent navigation system in an autonomous mobile robot. This design enhances the implemented navigation system with a new cognitive property of intelligent information processing using a spiking neural network. Having adapted to the scene environment, the navigation system was able to make right decisions, change its direction and refrain from collision with the scene walls Public work category ADD No. of Archival Copy 18025 Repercussion category CASELLATO, Claudia - ANTONIETTI, Alberto - GARRIDO, Jesus A. - FERRIGNO, Giancarlo - D'ANGELO, Egidio - PEDROCCHI, Alessandra. Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks. In Frontiers in computational neuroscience. ISSN 1662-5188, 2015, vol. 9, article no. 24.
CASELLATO, Claudia - ANTONIETTI, Alberto - GARRIDO, Jesus A. - CARRILLO, Richard R. - LUQUE, Niceto R. - ROS, Eduardo - PEDROCCHI, Alessra - D'ANGELO, Egidio. Adaptive robotic control driven by a versatile spiking cerebellar network. In PLoS ONE. ISSN 1932-6203, 2014, vol. 9, no. 11, article no. 0112265.
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