This paper studies the effects of changing environments on the evolution of bodies and brains of modular robots. Our results indicate that environmental history has a long lasting impact on the evolved robot properties. We show that if the environment gradually changes from type A to type B, then the evolved morphological and behavioral properties are very different from those evolving in a type B environment directly. That is, we observe some sort of “genetic memory”. Furthermore, we show that gradually introducing a difficult environment helps to reach fitness levels that are higher than those obtained under those difficult conditions directly. Finally, we also demonstrate that robots evolved in gradually changing environments are more ro...
A well-established fact in biology is that the environmental conditions have a paramount impact on t...
The field of evolutionary robotics uses principles of natural evolution to design robots. In this pa...
Although recent work has demonstrated that modularity can increase evolvability in non-embodied syst...
The environment is one of the key factors in the emergence of intelligent creatures, but it has rece...
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic system...
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic system...
According to the principles of embodied cognition, intelli-gent behavior must arise out of the coupl...
In evolution, the evolutionary success of individuals is influenced in equal parts by the environmen...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
An open question for both natural and artificial evolutionary systems is how, and under what environ...
The principles of embodied cognition dictate that intelligent behavior must arise out of the coupled...
This paper investigates the evolution of modular robots using different selection preferences (i.e.,...
Whether, when, how, and why increased complexity evolves in biological populations is a longstanding...
This paper investigates the evolution of modular robots using different selection preferences (i.e.,...
Designing soft robots poses considerable challenges; automated design approaches may be particularly...
A well-established fact in biology is that the environmental conditions have a paramount impact on t...
The field of evolutionary robotics uses principles of natural evolution to design robots. In this pa...
Although recent work has demonstrated that modularity can increase evolvability in non-embodied syst...
The environment is one of the key factors in the emergence of intelligent creatures, but it has rece...
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic system...
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic system...
According to the principles of embodied cognition, intelli-gent behavior must arise out of the coupl...
In evolution, the evolutionary success of individuals is influenced in equal parts by the environmen...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
An open question for both natural and artificial evolutionary systems is how, and under what environ...
The principles of embodied cognition dictate that intelligent behavior must arise out of the coupled...
This paper investigates the evolution of modular robots using different selection preferences (i.e.,...
Whether, when, how, and why increased complexity evolves in biological populations is a longstanding...
This paper investigates the evolution of modular robots using different selection preferences (i.e.,...
Designing soft robots poses considerable challenges; automated design approaches may be particularly...
A well-established fact in biology is that the environmental conditions have a paramount impact on t...
The field of evolutionary robotics uses principles of natural evolution to design robots. In this pa...
Although recent work has demonstrated that modularity can increase evolvability in non-embodied syst...