Contains fulltext : 54928.pdf (publisher's version ) (Open Access)Control structures for physical robots can be evolved in simulated and physical environments. In this study, the interleaving of simulated and physical environments during the course of the evolution of a control structure was examined. This method was compared to the method of ‘fine tuning’ in a physical environment a control structure that has evolved in complete simulation. Interleaving physical and simulated environments improves performance of the eventual control structure. Possibly, this method allows for the evolved control structure to incorporate and retain advantageous behavioural patterns from both environments.48 p
Recently, a new approach that involves a form of simulated evolution has been proposed for the build...
This paper is concerned with adaptation capabilities of evolved neural controllers. A method consist...
Recently there have been a number of proposals for the use of artificial evolution as a radically ne...
Control structures for physical robots can be evolved in simulated and physical environments. In thi...
Control structures for physical robots can be evolved in simulated and physical environments. In thi...
Contains fulltext : 54833.pdf (publisher's version ) (Open Access)Control structur...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
The improvement of robots is an ongoing and complex area of research. Whether those improvements ar...
We use genetic algorithms to evolve behavioral properties of simulated autonomous vehicles. The trai...
In this paper an evolutionary method con-sisting of encoding a set of local adapta-tion rules that s...
This paper is concerned with adaptation capabilities of evolved neural controllers. We propose to ev...
Artificial evolution of robot behavior is commonly conducted in environments containing a single rob...
Inspired by animals’ ability to learn and adapt to changes in their environment during life, hybrid ...
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase prece...
We describe the results of a set of evolutionary experiments in which a simulated robotic arm provid...
Recently, a new approach that involves a form of simulated evolution has been proposed for the build...
This paper is concerned with adaptation capabilities of evolved neural controllers. A method consist...
Recently there have been a number of proposals for the use of artificial evolution as a radically ne...
Control structures for physical robots can be evolved in simulated and physical environments. In thi...
Control structures for physical robots can be evolved in simulated and physical environments. In thi...
Contains fulltext : 54833.pdf (publisher's version ) (Open Access)Control structur...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
The improvement of robots is an ongoing and complex area of research. Whether those improvements ar...
We use genetic algorithms to evolve behavioral properties of simulated autonomous vehicles. The trai...
In this paper an evolutionary method con-sisting of encoding a set of local adapta-tion rules that s...
This paper is concerned with adaptation capabilities of evolved neural controllers. We propose to ev...
Artificial evolution of robot behavior is commonly conducted in environments containing a single rob...
Inspired by animals’ ability to learn and adapt to changes in their environment during life, hybrid ...
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase prece...
We describe the results of a set of evolutionary experiments in which a simulated robotic arm provid...
Recently, a new approach that involves a form of simulated evolution has been proposed for the build...
This paper is concerned with adaptation capabilities of evolved neural controllers. A method consist...
Recently there have been a number of proposals for the use of artificial evolution as a radically ne...