Add to ORKGIn this chapter an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control ofa soccer micro-robot from any configuration belonging to a grid of initial configurations, to hit the ball along the ball to goal line ofsight. A relative coordinate system is used. Forward and reverse mode of the robot and its physical dimensions are incorporated, as well as special considerations to cases when in its initial configuration, the robot is touching the ball
Fuzzy control has shown to be a very useful tool in the eld of autonomous mobile robotics, character...
An approach is investigated to identify an invariant in a simulated robot soccer team's dynamics in ...
<i>Abstract</i><div><br></div><div><br></div><div><div>Robocup is an international competition for m...
In this paper an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control...
In this paper, an evolutionary algorithm is developed to learn a three layer hierarchical fuzzy know...
In this paper an evolutionary algorithm is developed to learn a fuzzy knowledge base for the contro...
"Robot soccer provides a fertile environment for the development of artificial intelligence techniqu...
In this paper we use an evolutionary algorithm to evolve paths using robot velocity profiles from an...
This paper develops the applicability of using fuzzy logic controller and incorporates it with other...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
AbstractThis paper presents a learning method which automatically designs fuzzy logic controllers (F...
This paper presents an automatic design method for fuzzy systems using genetic algorithms. A flexibl...
. This paper is concerned with the learning of basic behaviors in autonomous robots. In this way, we...
Developing social and cooperative behavior for a group of robots poses a big challenge up to this da...
In the present work we study and implmement means to evolve players of robotic soccer. We implement ...
Fuzzy control has shown to be a very useful tool in the eld of autonomous mobile robotics, character...
An approach is investigated to identify an invariant in a simulated robot soccer team's dynamics in ...
<i>Abstract</i><div><br></div><div><br></div><div><div>Robocup is an international competition for m...
In this paper an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control...
In this paper, an evolutionary algorithm is developed to learn a three layer hierarchical fuzzy know...
In this paper an evolutionary algorithm is developed to learn a fuzzy knowledge base for the contro...
"Robot soccer provides a fertile environment for the development of artificial intelligence techniqu...
In this paper we use an evolutionary algorithm to evolve paths using robot velocity profiles from an...
This paper develops the applicability of using fuzzy logic controller and incorporates it with other...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
AbstractThis paper presents a learning method which automatically designs fuzzy logic controllers (F...
This paper presents an automatic design method for fuzzy systems using genetic algorithms. A flexibl...
. This paper is concerned with the learning of basic behaviors in autonomous robots. In this way, we...
Developing social and cooperative behavior for a group of robots poses a big challenge up to this da...
In the present work we study and implmement means to evolve players of robotic soccer. We implement ...
Fuzzy control has shown to be a very useful tool in the eld of autonomous mobile robotics, character...
An approach is investigated to identify an invariant in a simulated robot soccer team's dynamics in ...
<i>Abstract</i><div><br></div><div><br></div><div><div>Robocup is an international competition for m...