We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
—In this paper we present a model which allows to co-evolve the morphology and the control system of realistically simulated robots (creatures). The method proposed is based on a...
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
This paper addresses the problem of cooperative transport of an object by a group of two simple autonomous mobile robots called s-bots. S-bots are able to establish physical connec...
This paper investigates the evolution of robot controllers utilising only visual environment input data, capable of performing a hard task, playing football, in the real world. Th...