We present a study on morphological traits of evolved modular robots. We note that the
evolutionary search space–the set of obtainable morphologies–depends on the given …

This paper investigates the evolution of modular robots using different selection preferences
(ie, fitness functions), aiming at novelty, speed of locomotion, number of limbs, and …

This paper describes the real-world reproduction of a handful of robots selected from a
larger sample of simulated models previously generated by an evolutionary algorithm. The …

The field of Evolutionary Robotics addresses the challenge of automatically designing
robotic systems. Furthermore, the field can also support biological investigations related to …

This paper studies the effects of different environments on morphological and behavioral
properties of evolving populations of modular robots. To assess these properties, a set of …

Evolutionary robotics often involves optimization in large, complex search spaces, requiring
good population diversity. Recently, measures to actively increase diversity or novelty have …

Modular robots offer an important benefit in evolutionary robotics, which is to quickly
evaluate evolved morphologies and control systems in reality. However, artificial evolution of …

The evolutionary robotics field offers the possibility of autonomously generating robots that
are adapted to desired tasks by iteratively optimising across successive generations of …

Exposing an evolutionary algorithm that is used to evolve robot controllers to variable
conditions is necessary to obtain solutions which are robust and can cross the reality gap …

In Evolutionary Robotics (ER), explicitly rewarding for behavioral diversity recently revealed
to generate efficient results without recourse to complex fitness functions. The principle of …