An adaptive training procedure is developed for a network of electronic neurons, which
controls a mobile robot driving around in an unknown environment while avoiding obstacles …

We present an adaptive training procedure for a spiking neural network, which is used for
control of a mobile robot. Because of manufacturing tolerances, any hardware …

This paper presents an elitist evolving strategy, which allows obtaining a controller, based
on a neural network capable of commanding an autonomous robot. In order to reduce the …

Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
basados en mecanismos de adaptación. Actualmente el énfasis está puesto en la …

Complex task solving can be carried out by decomposing the original problem into more
specific and simpler parts. Several authors have shown that those cases where incremental …

The human brain is the center of the human nervous system, which is a network of neurons
that coordinates all the actions of a person. Solely, the neurons are not able to perform …

In recent years, research on techniques for developing controllers for autonomous robots
has been conducted. Evolutionary Algorithms are among the most popular tools used in this …

Within the problems that can be solved with autonomous robots, automatic parking is an
area of great interest, since it presents a complex scenario where the agent must go through …

El fin de este trabajo es realizar una clasificación de la reflexión en niveles, con un enfoque
orientado a alcanzar la programación autónoma. La reflexión es la capacidad de un …

Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
basados en mecanismos de adaptación. En el área del procesamiento de señales, el …