Purpose–This article aims to provide a brief overview of the field now known as
“evolutionary developmental robotics (evo-devo-robo)”, which is based on the concept and …

Many approaches to AI in robotics use a multi-layered approach to determine levels of
behaviour from basic operations to goal-directed behaviour, the most well-known of which is …

This paper presents a novel method which uses a genetic algorithm to evolve the control
system of a computer simulated mobile inverted pendulum. During the evolutionary process …

This paper describes a new approach in using multi-objective evolutionary algorithms in
evolving the neural network that acts as a controller for the phototaxis and radio frequency …

Abstract<? Pub Inc> This thesis investigates the possibility of robots forming species as
defined by biology. This is tested through the use of physics-based 3D simulations in which …

The main objective in automatic robot controller development is to devise mechanisms
whereby robot controllers can be developed with less reliance on human developers. One …

This research investigates evolutionary robotics which uses evolutionary computation to
generate robotic controllers. The majority of research in this field has been primarily focused …

The utilization of a multi-objective approach for evolving artificial neural networks that act as
the controllers for phototaxis and radio frequency (RF) localization behaviors of a virtual …

EXPLORING MULTI-OBJECTIVE EVOLUTION OF ROBOT BRAINS IN OBSTACLE AND MAZE
ENVIRONMENTS WITH VARYING COMPLEXITIES Song Cheng Ni Jason Teo Centre for …