This paper presents a novel robotic platform for experimental research in large-scale
distributed robotics and mobile sensor networks. The MICAbot is both inexpensive and …

In this paper I claim that one of the main characteristics that makes the evolutionary robotics
approach suitable for the study of adaptive behavior in natural and artificial agents is the …

Ever since his days as a cave-dweller, Man has been awe-stricken by the workings of
Nature. The rise of modern science over the past few centuries, continuously striving to …

This paper discusses different approaches incognitive science and artificial
intelligenceresearch from the perspective of radicalconstructivism, addressing especially …

The evolution of simulated robots with three different architectures is studied in this article.
We compare a nonmodular feed-forward network, a hardwired modular, and a duplication …

The soccer robot system consists of multi agents, with highly coordinated operation and
movements so as to fulfill specific objectives, even under adverse situation. The coordination …

A computational model of the hippocampal function in spatial learning is presented. A
spatial representation is incrementally acquired during exploration. Visual and self-motion …

Swarm robotics studies the intelligent collective behaviour emerging from long-term
interactions of large number of simple robots. However, maintaining a large number of …

Evolutionary robotics is the attempt to develop robots through a self-organized process
based on artificial evolution. This approach stresses the importance of the study of systems …

Evolutionary robotics using genetic algorithms to evolve control systems for real robots is a
powerful tool, since it allows an automatic evolution of control systems. However …