This paper presents an original framework for evolving a vision-based mobile robot controller using genetic programming. This framework is built on the Open BEAGLE framework for t...
Abstract. Evolutionary robotics simulations can serve as a tool to clarify counterintuitive or dynamically complex aspects of sensorimotor behaviour. We present a series of simulat...
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...