Add to ORKGIn this paper the results of evolution on the task performance of a robot colony are discussed. The cognitive architecture of individual robots of a colony are modified, using genetic algorithms, producing a generation of robots with superior task performance, compared with those of the initial robot population. The effects of mutation probability and fitness scaling parameters on simulated evolution are also studied in this paper
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase prece...
Abstract — One of the advantages of evolutionary robotics over other approaches in embodied cognitiv...
Inspired by animals’ ability to learn and adapt to changes in their environment during life, hybrid ...
Through series of experiments this work compares effects of different types of genetic algorithms on...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
We discuss the methodological foundations for our work on the development of cognitive architectures...
This paper is concerned with different aspects of the use of evolution for the successful generation...
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase prece...
This book presented techniques and experimental results which have been pursued for the purpose of e...
This research investigates evolutionary robotics which uses evolutionary computation to generate rob...
This research investigates evolutionary robotics which uses evolutionary computation to generate rob...
Artificial evolution as a design methodology allows the relaxation of many of the constraints that h...
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase prece...
Abstract — One of the advantages of evolutionary robotics over other approaches in embodied cognitiv...
Inspired by animals’ ability to learn and adapt to changes in their environment during life, hybrid ...
Through series of experiments this work compares effects of different types of genetic algorithms on...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
We discuss the methodological foundations for our work on the development of cognitive architectures...
This paper is concerned with different aspects of the use of evolution for the successful generation...
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase prece...
This book presented techniques and experimental results which have been pursued for the purpose of e...
This research investigates evolutionary robotics which uses evolutionary computation to generate rob...
This research investigates evolutionary robotics which uses evolutionary computation to generate rob...
Artificial evolution as a design methodology allows the relaxation of many of the constraints that h...
In traditional evolutionary robotics, robot controllers are evolved in a separate design phase prece...
Abstract — One of the advantages of evolutionary robotics over other approaches in embodied cognitiv...
Inspired by animals’ ability to learn and adapt to changes in their environment during life, hybrid ...