This paper surveys fitness functions used in the field of evolutionary robotics (ER).
Evolutionary robotics is a field of research that applies artificial evolution to generate control …

The emerging discipline of Artificial Intelligence (AI) has changed attitudes towards the
intellect, which was long considered to be a feature exclusively belonging to biological …

To date, work in evolvable and adaptive hardware (EAH) has been largely isolated from
primary inclusion into larger design processes. Almost without exception, EAH efforts are …

In this paper artificial regulatory networks (ARN) are evolved to match the dynamics of test
functions. The ARNs are based on a genome representation generated by a …

A new biologically inspired approach to a flapping wing controller which benefits from
morphological computation and a Reflexive Pattern Generator (RPG) was tested using a …

This paper introduces an improved evolvable and adaptive hardware oscillator design
capable of supporting adaptation intended to restore control precision in damaged or …

The body-brain coevolution of aerial life forms has not been developed as far as aquatic or
terrestrial locomotion in the field of artificial life. We are studying physically simulated 3D …

This paper investigates advanced features of the PhysX physics simulation engine for
simulated robotic evolution, with the goal of applying the results to a real world soft robotic …

Today's information age has exploded the amount of data available to decision makers at all
levels of the control hierarchy. The miniaturization and proliferation of sensor technology has …

In evolutionary robotics, which concerns automatic design of robotic systems using
evolutionary algorithms, the well-known reality gap phenomenon occurs when transferring …