Show simple item record

dc.contributor.authorMartínez Álvarez, José Javier 
dc.contributor.authorGuerrero González, Antonio 
dc.contributor.authorPedreño Molina, Juan Luis 
dc.contributor.authorVillaescusa Fernández, Antonio 
dc.contributor.authorFerrández Vicente, José Manuel 
dc.contributor.authorLópez Coronado, Juan 
dc.date.accessioned2011-02-16T13:38:44Z
dc.date.available2011-02-16T13:38:44Z
dc.date.issued2002-10
dc.identifier.citationMARTÍNEZ ÁLVAREZ, J.J., GUERRERO, A., PEDREÑO MOLINA, J.J., VILLAESCUSA FERNÁNDEZ, A., FERRÁNDEZ, J. Manuel, LÓPEZ CORONADO, J. Hardware implementation of a controller based on neurobiological adaptive models of the human motor-control system. En: IEEE International Conference on Systems, Man and Cybernetics (2002: Yasmine Hammamet - Tunisia). 2002 IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide , Cyber-development, Human Progress, Peace and Prosperity. Yasmine Hammamet - Tunisia, October 6-9,2002. Conference Proceedings. [Piscataway]: IEEE. 2002, vol.5, 3p. ISBN 0-7803-7437-1eng
dc.identifier.isbn0-7803-7437-1
dc.description.abstractIn this work, a neural structure has been implemented into a device based on the new trends in hardware integration, for motor-control In multisensorial anthropomorphic robotic systems. This implementation gives a solution to the problem of physic integration of biologically Inspired control hierarchies in a robotic head-arm installation for robotic reaching tasks. The complete architecture has been implemented on an electronic board connected to a PC computer through a PCI interface. The hardware structure consists of two blocks: one for the working phase of the system, and the other for the learning and supervision phase of the system. These two blocks have been implemented with different technologies based on DSP processors and FPGAs. The algorithms implemented on DSPs have the function of updating the neural network on the FPGA, supervising the working of the algorithm implemented on FPGA and introducing corrections when the neural network produces results with little errors. The neural network has been implemented on FPGA and implements spatial-motor transformations of the robotic platform. It is programmed and updated by the supervisor implemented on a DSP processoreng
dc.formatapplication/pdf
dc.language.isoengeng
dc.publisherInstitute Electrical and Electronics Engineers (IEEE)eng
dc.rightsCopyright © 2002 IEEEeng
dc.titleHardware implementation of a controller based on neurobiological adaptive models of the human motor-control systemeng
dc.typeinfo:eu-repo/semantics/conferenceObjecteng
dc.subjectNeurocontrollereng
dc.subjectRoboticeng
dc.subjectNeural deviceeng
dc.subjectNeurocontroladoreng
dc.subjectRobóticaeng
dc.subjectDispositivos neuronaleseng
dc.subject.otherArquitectura y Tecnología de Computadoraseng
dc.subject.otherIngeniería de Sistemas y Automáticaeng
dc.subject.otherTeoría de la Señal y las Comunicacioneseng
dc.identifier.urihttp://hdl.handle.net/10317/1616
dc.contributor.investgroupGrupo de Neurotecnología, Control y Robótica. (NEUROCOR)eng
dc.contributor.investgroupGrupo de Electromagnetismo y Materia (GEM)


Files in this item

This item appears in the following Collection(s)

Show simple item record