AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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Autori: CĂTĂLIN V. RUSU, TIBERIU BAN, HOREA ADRIAN GREBLĂ.
DOI: 10.24193/subbi.2017.2.07
Published Online: 2017-12-15
Published Print: 2017-12-15
pp. 83-92
VIEW PDF: Robby: A Neurorobotics Control Framework Using Spiking Neural Networks
The variety of neural models and robotic hardware has made simulation writing time-consuming and error prone, forcing thus scientists to spend a substantial amount of time on the implementation of their models. We developed a framework called "Robby" that allows the quick simulation of large-scale neural networks designed for robotic control by spiking neural networks. It provides both mechanism for robotic communication and tools for building and simulating neural controllers. We present the basic building blocks of "Robby" and a simple experiment to show its practical value.
Keywords: neural simulators, robotic frameworks, cognitive robotics, spiking neural networks.
2010 Mathematics Subject Classification. 68T40.
