The field of Evolutionary Robotics addresses the challenge of automatically designing robotic systems. Furthermore, the field can also support biological investigations related to evolution. In this paper, we evolve (simulated) modular robots under diverse environmental conditions and analyze the influences that these conditions have on the evolved morphologies, controllers, and behavior. To this end, we introduce a set of morphological, controller, and behavioral descriptors that together span a multi-dimensional trait space. Using these descriptors, we demonstrate how changes in environmental conditions induce different levels of differentiation in this trait space. Our main goal is to gain deeper insights into the effect of the environme...
Evolutionary algorithms have previously been applied to the design of morphology and control of robo...
One key challenge in Evolutionary Robotics (ER) is to evolve morphology and controllers of robots. M...
Although recent work has demonstrated that modularity can increase evolvability in non-embodied syst...
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic system...
The environment is one of the key factors in the emergence of intelligent creatures, but it has rece...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
In evolution, the evolutionary success of individuals is influenced in equal parts by the environmen...
This paper studies the effects of changing environments on the evolution of bodies and brains of mod...
A well-established fact in biology is that the environmental conditions have a paramount impact on t...
In evolutionary robotics, the representation of the robot is of primary importance. Often indirect e...
The field of evolutionary robotics uses principles of natural evolution to design robots. In this pa...
Evolutionary algorithms have previously been applied to the design of morphology and control of robo...
Morphological evolution in a robotic system produces novel robot bodies after each reproduction even...
According to the principles of embodied cognition, intelli-gent behavior must arise out of the coupl...
We present a study on morphological traits of evolved modular robots. We note that the evolutionary ...
Evolutionary algorithms have previously been applied to the design of morphology and control of robo...
One key challenge in Evolutionary Robotics (ER) is to evolve morphology and controllers of robots. M...
Although recent work has demonstrated that modularity can increase evolvability in non-embodied syst...
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic system...
The environment is one of the key factors in the emergence of intelligent creatures, but it has rece...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
In evolution, the evolutionary success of individuals is influenced in equal parts by the environmen...
This paper studies the effects of changing environments on the evolution of bodies and brains of mod...
A well-established fact in biology is that the environmental conditions have a paramount impact on t...
In evolutionary robotics, the representation of the robot is of primary importance. Often indirect e...
The field of evolutionary robotics uses principles of natural evolution to design robots. In this pa...
Evolutionary algorithms have previously been applied to the design of morphology and control of robo...
Morphological evolution in a robotic system produces novel robot bodies after each reproduction even...
According to the principles of embodied cognition, intelli-gent behavior must arise out of the coupl...
We present a study on morphological traits of evolved modular robots. We note that the evolutionary ...
Evolutionary algorithms have previously been applied to the design of morphology and control of robo...
One key challenge in Evolutionary Robotics (ER) is to evolve morphology and controllers of robots. M...
Although recent work has demonstrated that modularity can increase evolvability in non-embodied syst...