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 …

For several years now, various researchers have endeavoured to apply artificial evolution to
the automatic design of control systems for robots. One of the major challenges they face is …

We introduce Embodied Evolution (EE), a new methodology for conducting evolutionary
robotics (ER). Embodied evolution uses a population of physical robots that evolve by …

Evolutionary Robotics is a method for the automatic creation of autonomous robots [86]. It is
inspired by the Darwinian principle of selective reproduction of the fittest captured by …

Evolutionary robotics applies the selection, variation, and heredity principles of natural
evolution to the design of robots with embodied intelligence. It can be considered as a …

A methodology for evolving the control systems of autonomous robots has not yet been well
established. In this paper we will show different examples of applications of evolutionary …

We address two issues in Evolutionary Robotics, namely the genetic encoding and the
performance criterion, also known as the fitness function. For the first aspect, we suggest to …

Evolutionary robotics Page 1 74 communications of the acm | august 2013 | vol. 56 | no. 8
review articles Ill us tra t Ion b y Jus t In Metz The auTomaTed design, construction, and …

Recently there have been a number of proposals for the use of artificial evolution as a
radically new approach to the development of control systems for autonomous robots. This …

Evolutionary robotics (ER) aims at automatically designing robots or controllers of robots
without having to describe their inner workings. To reach this goal, ER researchers primarily …