This paper surveys various applications of artificial evolution in the field of modular robots.
Evolutionary robotics aims to design autonomous adaptive robots automatically that can …

The intertwined processes of learning and evolution in complex environmental niches have
resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

In many reinforcement learning tasks, the goal is to learn a policy to manipulate an agent,
whose design is fixed, to maximize some notion of cumulative reward. The design of the …

Robots are traditionally bound by a fixed morphology during their operational lifetime, which
is limited to adapting only their control strategies. Here we present the first quadrupedal …

This paper takes a critical look at the concept of real-world robot evolution discussing
specific challenges for making it practicable. After a brief review of the state of the art several …

We present an interactive design system that allows casual users to quickly create 3D-
printable robotic creatures. Our approach automates the tedious parts of the design process …

The evolution of task-oriented control for robots with complex locomotor systems is currently
out of reach for traditional evolutionary computation techniques, as the coordination of a …

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

The vision behind this paper looks ahead to evolutionary robot systems where morphologies
and controllers are evolved together and 'newborn'robots undergo a learning process to …