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 …

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

In modular robotics modules can be reconfigured to change the morphology of the robot,
making it able to adapt to specific tasks. However, optimizing both the body and control of …

Evolutionary robot systems offer two principal advantages: an advanced way of develo**
robots through evolutionary optimization and a special research platform to conduct what-if …

We study evolutionary robot systems where not only the robot brains but also the robot
bodies are evolvable. Such systems need to include a learning period right after 'birth'to …

We investigate an evolutionary robot system where (simulated) modular robots can
reproduce and create robot children that inherit the parents' morphologies by crossover and …

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 …

Most work in evolutionary robotics centers on evolving a controller for a fixed body plan.
However, previous studies suggest that simultaneously evolving both controller and body …

A challenge in evolutionary robotics is the in parallel adaptation of morphologies and
controllers. Here, we considered encoding methods for morphogenesis of 2D virtual …

Jointly optimizing both the body and brain of a robot is known to be a challenging task,
especially when attempting to evolve designs in simulation that will subsequently be built in …