Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that fuzzy logic could serve as a powerful methodology for dealing with imprecision and nonlinearity efficiently. However, the conventional way of designing a fuzzy system has been a subjective approach. If the fuzzy system somehow possesses learning abilities, an enormous amount of human efforts would be saved from tuning the system.DOCTOR OF PHILOSOPHY (EEE
<div>A key issue in the research of an autonomous robot is the design and development of the navigat...
Decades ago, machine learning was not as good as human learning, so many machine learning techniques...
A key issue in the research of an autonomous robot is the design and development of the navigation t...
Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that ...
Fuzzy logic is a mathematical approach towards the human way of thinking and learning. Based on if-t...
Abstract: Programming mobile robots can be long and difficult task. The idea of having a robot learn...
In support of research efforts to develop reactive mobile robots capable of autonomous navigation, w...
The implementation of behaviors for embodied autonomous agents by means of Fuzzy Logic Controllers (...
Reinforcement Learning is the learning methodology whereby a learner develops its knowledge through ...
Abstract — This paper proposes a new fuzzy logic-based navigation method for a mobile robot moving i...
Abstract- This paper presents a novel Fuzzy Sarsa(λ) Learning (FSλL) approach applied to a strategic...
Recently, the intelligent agent has become one of the important issues in Artificial Intelligence. T...
This report describes the fuzzy classifier system and a new payoff distribution scheme that performs...
The development of techniques for autonomous navigation constitutes one of the major trends in the c...
peer reviewedThis paper presents a software implementation of a user adaptive fuzzy control system f...
<div>A key issue in the research of an autonomous robot is the design and development of the navigat...
Decades ago, machine learning was not as good as human learning, so many machine learning techniques...
A key issue in the research of an autonomous robot is the design and development of the navigation t...
Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that ...
Fuzzy logic is a mathematical approach towards the human way of thinking and learning. Based on if-t...
Abstract: Programming mobile robots can be long and difficult task. The idea of having a robot learn...
In support of research efforts to develop reactive mobile robots capable of autonomous navigation, w...
The implementation of behaviors for embodied autonomous agents by means of Fuzzy Logic Controllers (...
Reinforcement Learning is the learning methodology whereby a learner develops its knowledge through ...
Abstract — This paper proposes a new fuzzy logic-based navigation method for a mobile robot moving i...
Abstract- This paper presents a novel Fuzzy Sarsa(λ) Learning (FSλL) approach applied to a strategic...
Recently, the intelligent agent has become one of the important issues in Artificial Intelligence. T...
This report describes the fuzzy classifier system and a new payoff distribution scheme that performs...
The development of techniques for autonomous navigation constitutes one of the major trends in the c...
peer reviewedThis paper presents a software implementation of a user adaptive fuzzy control system f...
<div>A key issue in the research of an autonomous robot is the design and development of the navigat...
Decades ago, machine learning was not as good as human learning, so many machine learning techniques...
A key issue in the research of an autonomous robot is the design and development of the navigation t...
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