The behaviour of social insects such as bees and ants has influenced the development of
swarm robots. To enable robots to cooperate together, swarm robotics employs principles …

One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …

Swarm robotics is a promising approach for the coordination of large numbers of robots.
While previous studies have shown that evolutionary robotics techniques can be applied to …

A multidisciplinary approach to a novel artificial intelligence system for an affective robot is
presented in this paper. The general objective of the system is to develop a robotic system …

We propose an approach to the synthesis of hierarchical control systems comprising both
evolved and manually programmed control for autonomous robots. We recursively divide the …

In this paper, we demonstrate how an artificial neural network (ANN) based controller can be
synthesized for a complex task through hierarchical evolution and composition of behaviors …

The robots that operate autonomously for extended periods in remote environments are
often limited to gather only small amounts of power through photovoltaic solar panels. Such …

This work proposes a biologically inspired system for the coordination of multiple and
possible conflicting behaviours in an autonomous mobile robot, devoted to explore novel …

Purpose–The purpose of this paper is to present an artificial homeostatic system whose
parameters are defined by means of an evolutionary process. The objective is to design a …

The artificial endocrine system (AES) is a new branch of natural computing which uses ideas
and takes inspiration from the information processing mechanisms contained in the …