Add to ORKGIn this paper, an evolutionary algorithm is developed to learn a three layer hierarchical fuzzy knowledge base. This knowledge base is used in a fuzzy controller to control a micro-robot to hit the ball along the ball to goal line of sight from any configurations belonging to a grid of initial configurations. The inputs to the fuzzy controller are variables from a relative coordinate system and output change in wheel velocities. Forward and reverse facing impact with the ball and physical dimensions are included
AbstractThis paper presents a learning method which automatically designs fuzzy logic controllers (F...
Developing social and cooperative behavior for a group of robots poses a big challenge up to this da...
Fuzzy control has shown to be a very useful tool in the eld of autonomous mobile robotics, character...
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 control...
In this chapter an evolutionary algorithm is developed to learn a fuzzy knowledge base for the contr...
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 is described one of the intelligent control method in Autonomous systems, which is called...
This paper presents the system used by the team of the German University in Cairo (GUC) within the F...
<i>Abstract</i><div><br></div><div><br></div><div><div>Robocup is an international competition for m...
ABSTRACT Robocup is an international competition for multi agent research and related subject like...
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...
Developing social and cooperative behavior for a group of robots poses a big challenge up to this da...
Fuzzy control has shown to be a very useful tool in the eld of autonomous mobile robotics, character...
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 control...
In this chapter an evolutionary algorithm is developed to learn a fuzzy knowledge base for the contr...
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 is described one of the intelligent control method in Autonomous systems, which is called...
This paper presents the system used by the team of the German University in Cairo (GUC) within the F...
<i>Abstract</i><div><br></div><div><br></div><div><div>Robocup is an international competition for m...
ABSTRACT Robocup is an international competition for multi agent research and related subject like...
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...
Developing social and cooperative behavior for a group of robots poses a big challenge up to this da...
Fuzzy control has shown to be a very useful tool in the eld of autonomous mobile robotics, character...