Add to ORKGComplex robots inspired by biological systems usually consist of many dependent actuators and are difficult to control. If no model is available automatic learning and adaptation methods have to be applied. The aim of this contribution is twofold: (1) To present an easy to maintain and cheap test platform, which fulfils the requirements of a complex control problem. (2) To discuss the application of Genetic Programming for evolution of control programs in real time. An extensive number of experiments with two real robots has been carried out
The first part of this paper explores the general issues in using Artificial Life techniques to prog...
The main objective in automatic robot controller development is to devise mechanisms whereby robot c...
Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the ...
A computer language is a very general form of representing and specifying an autonomous agent's...
We have evaluated the use of Genetic Programming to directly control a miniature robot. The goal of ...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
This paper deals with design and implementation of an evolutionary system for control of an autonomo...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
Inspired by animals’ ability to learn and adapt to changes in their environment during life, hybrid ...
Abstract. This paper deals with the design of an evolutionary system for control of an autonomous mo...
This book presented techniques and experimental results which have been pursued for the purpose of e...
Exploration using mobile robots is an active research area. In general, an optimal robot exploration...
We present the system SIGEL that combines the simulation and visualization of robots with a Genetic...
Abstract. We present the system SIGEL that combines the simulation and visualization of robots with ...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
The first part of this paper explores the general issues in using Artificial Life techniques to prog...
The main objective in automatic robot controller development is to devise mechanisms whereby robot c...
Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the ...
A computer language is a very general form of representing and specifying an autonomous agent's...
We have evaluated the use of Genetic Programming to directly control a miniature robot. The goal of ...
Homogeneous robotic swarms are usually controlled by a manually created program. This thesis studies...
This paper deals with design and implementation of an evolutionary system for control of an autonomo...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
Inspired by animals’ ability to learn and adapt to changes in their environment during life, hybrid ...
Abstract. This paper deals with the design of an evolutionary system for control of an autonomous mo...
This book presented techniques and experimental results which have been pursued for the purpose of e...
Exploration using mobile robots is an active research area. In general, an optimal robot exploration...
We present the system SIGEL that combines the simulation and visualization of robots with a Genetic...
Abstract. We present the system SIGEL that combines the simulation and visualization of robots with ...
In this thesis, the problems of generating and optimizing motor behaviors for both simulated and rea...
The first part of this paper explores the general issues in using Artificial Life techniques to prog...
The main objective in automatic robot controller development is to devise mechanisms whereby robot c...
Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the ...