ROBBY: A NEUROROBOTICS CONTROL FRAMEWORK USING SPIKING NEURAL NETWORKS

Abstract

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.