Add to ORKGA review is given on the use of evolutionary techniques for the automatic design of adaptive robots. The focus is on methods which use neural networks and have been tested on actual physical robots. The chapter also examines the role of simulation and the use of domain knowledge in the evolutionary process. It concludes with some predictions about future directions in robotics
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
This paper reviews evolutionary approaches to the automatic design of real robots exhibiting a given...
We give an overview of evolutionary robotics research at Sussex. We explain and justify our distinct...
A review is given on the use of evolutionary techniques for the automatic design of adaptive robots....
International audienceEvolutionary robotics applies the selection, variation, and heredity principle...
Evolutionary robotics uses evolutionary search methods to fully or partially design robotic systems,...
This paper considers the field of Evolutionary Robotics (ER) from the perspective of its potential us...
This book presented techniques and experimental results which have been pursued for the purpose of e...
Through series of experiments this work compares effects of different types of genetic algorithms on...
Artificial evolution as a design methodology allows the relaxation of many of the constraints that h...
Abstract | This article is centered on the application of evolutionary techniques to the automatic d...
Robots ” considers the field of Evolutionary Robotics (ER) from the perspective of its potential use...
Evolutionary algorithms incorporate principles from biological population genetics to perform search...
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both r...
We discuss the methodological foundations for our work on the development of cognitive architectures...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
This paper reviews evolutionary approaches to the automatic design of real robots exhibiting a given...
We give an overview of evolutionary robotics research at Sussex. We explain and justify our distinct...
A review is given on the use of evolutionary techniques for the automatic design of adaptive robots....
International audienceEvolutionary robotics applies the selection, variation, and heredity principle...
Evolutionary robotics uses evolutionary search methods to fully or partially design robotic systems,...
This paper considers the field of Evolutionary Robotics (ER) from the perspective of its potential us...
This book presented techniques and experimental results which have been pursued for the purpose of e...
Through series of experiments this work compares effects of different types of genetic algorithms on...
Artificial evolution as a design methodology allows the relaxation of many of the constraints that h...
Abstract | This article is centered on the application of evolutionary techniques to the automatic d...
Robots ” considers the field of Evolutionary Robotics (ER) from the perspective of its potential use...
Evolutionary algorithms incorporate principles from biological population genetics to perform search...
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both r...
We discuss the methodological foundations for our work on the development of cognitive architectures...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
This paper reviews evolutionary approaches to the automatic design of real robots exhibiting a given...
We give an overview of evolutionary robotics research at Sussex. We explain and justify our distinct...