In mobile robot navigation, it is fundamental to have goal seeking and obstacle avoidance in the navigation algorithm. In this paper neural networks are used to learn both goal seeking and obstacle avoidance from a dataset generated by two different fuzzy logic navigation algorithms. The neural network was able to learn from both algorithms and produce a smoother path than the two. Additionally, a neural network was able to learn how to escape a concave obstacle
Abstract-This paper presents a design of behavior-fusion architecture for mobile robot navigation. W...
Abstract — Neural network based systems have been used in past years for robot navigation applicatio...
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile...
In mobile robot navigation, it is fundamental to have goal seeking and obstacle avoidance in the nav...
Navigation is a major challenge for autonomous, mobile robots. The problem can basically be divided ...
This thesis deals with computationally efficient fuzzy and neural algorithms for mobile robot naviga...
Abstract — This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy...
Robotics is the science and technology of robots, their design, manufacture, and applications. The l...
An Autonomous Mobile Robot is an artificially intelligent vehicle capable of traveling in unknown an...
Abstract — This paper proposes a new fuzzy logic-based navigation method for a mobile robot moving i...
This paper proposes a Neural-Network-Based Fuzzy logic system for navigation control of intelligent ...
A reactive fuzzy logic based control strategy was developed for mobile robot navigation. To decrease...
This paper deals with the application of a neuro-fuzzy inference system to a mobile robot navigation...
In this paper we propose a neural network based navigation for intelligent autonomous mobile robots....
and adaptive neuro-fuzzy inference system (ANFIS) are mainly considered as effective and suitable me...
Abstract-This paper presents a design of behavior-fusion architecture for mobile robot navigation. W...
Abstract — Neural network based systems have been used in past years for robot navigation applicatio...
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile...
In mobile robot navigation, it is fundamental to have goal seeking and obstacle avoidance in the nav...
Navigation is a major challenge for autonomous, mobile robots. The problem can basically be divided ...
This thesis deals with computationally efficient fuzzy and neural algorithms for mobile robot naviga...
Abstract — This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy...
Robotics is the science and technology of robots, their design, manufacture, and applications. The l...
An Autonomous Mobile Robot is an artificially intelligent vehicle capable of traveling in unknown an...
Abstract — This paper proposes a new fuzzy logic-based navigation method for a mobile robot moving i...
This paper proposes a Neural-Network-Based Fuzzy logic system for navigation control of intelligent ...
A reactive fuzzy logic based control strategy was developed for mobile robot navigation. To decrease...
This paper deals with the application of a neuro-fuzzy inference system to a mobile robot navigation...
In this paper we propose a neural network based navigation for intelligent autonomous mobile robots....
and adaptive neuro-fuzzy inference system (ANFIS) are mainly considered as effective and suitable me...
Abstract-This paper presents a design of behavior-fusion architecture for mobile robot navigation. W...
Abstract — Neural network based systems have been used in past years for robot navigation applicatio...
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile...
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