AbstractInterdisciplinary research in the 21st century is characterized by bidirectional flows: one domain provides inspiration to another, which, after an advance, provides inspiration back to the donating domain. In this abstract I outline three such flows between the domains of evolutionary biology and robotics. First, biological evolution shapes all aspects of an organism's body and brain simultaneously. This led to work in which artificial evolution optimizes the morphology and neural control of robots such that they perform increasingly sophisticated tasks. Second, evolution causes change over evolutionary time, but also over the lifetime of the organism. This led to work in which virtual robots change body plans as they evolve to per...
Mixed microbial communities, usually composed of various bacterial and fungal species, are fundament...
ii.34., humans have been intrigued by the origin and mechanisms underlying complexity in nature. Dar...
We survey developments in artificial neural networks, in behavior-based robotics, and in evolutionar...
International audienceEvolutionary robotics applies the selection, variation, and heredity principle...
While at present Evolutionary Robotics (ER) is generally not studied in mainstream robotics, the mai...
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both r...
Title: Evolution and Learning of Virtual Robots Author: RNDr. Peter Krčah Department: Department of ...
We give an overview of evolutionary robotics research at Sussex. We explain and justify our distinct...
In this paper I claim that one of the main characteristics that makes the Evolutionary Robotics appr...
. Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has se...
Abstract Our experiences with a range of evolutionary robotic experiments have resulted in major cha...
Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has seve...
Evolution is marked by well-defined events involving profound innovations that are known as ‘major e...
We survey and reflect on evolutionary approaches to the joint optimisation of the body and control o...
Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has seve...
Mixed microbial communities, usually composed of various bacterial and fungal species, are fundament...
ii.34., humans have been intrigued by the origin and mechanisms underlying complexity in nature. Dar...
We survey developments in artificial neural networks, in behavior-based robotics, and in evolutionar...
International audienceEvolutionary robotics applies the selection, variation, and heredity principle...
While at present Evolutionary Robotics (ER) is generally not studied in mainstream robotics, the mai...
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both r...
Title: Evolution and Learning of Virtual Robots Author: RNDr. Peter Krčah Department: Department of ...
We give an overview of evolutionary robotics research at Sussex. We explain and justify our distinct...
In this paper I claim that one of the main characteristics that makes the Evolutionary Robotics appr...
. Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has se...
Abstract Our experiences with a range of evolutionary robotic experiments have resulted in major cha...
Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has seve...
Evolution is marked by well-defined events involving profound innovations that are known as ‘major e...
We survey and reflect on evolutionary approaches to the joint optimisation of the body and control o...
Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has seve...
Mixed microbial communities, usually composed of various bacterial and fungal species, are fundament...
ii.34., humans have been intrigued by the origin and mechanisms underlying complexity in nature. Dar...
We survey developments in artificial neural networks, in behavior-based robotics, and in evolutionar...