Evolutionary robotics (ER) is often viewed as the application of a family of black-box
optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

We introduce AutoMoDe: a novel approach to the automatic design of control software for
robot swarms. The core idea in AutoMoDe recalls the approach commonly adopted in …

In this article we describe a methodology for evolving neurocontrollers of autonomous
mobile robots without human intervention. The presentation, which spans from technological …

The bootstrap problem is often recognized as one of the main challenges of evolutionary
robotics: if all individuals from the first randomly generated population perform equally …

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 …

In tasks such as pursuit and evasion, multiple agents need to coordinate their behavior to
achieve a common goal. An interesting question is, how can such behavior be best …

Classifier systems are an intriguing approach to a broad range of machine learning
problems, based on automated generation and evaluation of condi tion/action rules …

This paper provides an overview of the bottom-up approach to artificial intelligence (AI),
commonly referred to as behavior-oriented AI. The behavior-oriented approach, with its …

Evolutionary algorithms have been successfully used to create controllers for many animats.
However, intuitive fitness functions like the survival time of the animat, often do not lead to …