The purpose of this thesis is to present a new method based on neural networks designed to operate in unknown environments, meaning that the robot has no access to prior information regarding the navigation space
This paper presents a new methodology based on neural dynamics for optimal robot path planning by dr...
In this article we introduce a neural øeld approach for local path planning of an autonomous mobile ...
A review is given on the use of neural networks for mobile robots and autonomous vehicles. We focus ...
Navigation is a major challenge for autonomous, mobile robots. The problem can basically be divided ...
In this paper we propose a neural network based navigation for intelligent autonomous mobile robots....
This paper deals with a path planning and intelligent control of an autonomous robot which should mo...
Motion planning is essential for mobile robot successful navigation. There are many algorithms for m...
A Polynomial-Neural-Network-based (PNN-based) path planning with an obstacle avoidance scheme is pro...
Online navigation with known target and unknown obstacles is an interesting problem in mobile roboti...
Robotic path planning and obstacle avoidance has been the subject of intensive research in recent ye...
Recently, navigation in an unknown environment without hitting obstacles was considered a big challe...
This paper presents a new methodology based on neural dynamics for robot path planning by drawing an...
This paper presents a new path planning algorithm for safe navigation of a mobile robot in dynamic a...
Developing mobile robots able to move autonomously and staying operational in unexplored environment...
in this present work we present a neural network navigation approach. To deal with cognitive asks su...
This paper presents a new methodology based on neural dynamics for optimal robot path planning by dr...
In this article we introduce a neural øeld approach for local path planning of an autonomous mobile ...
A review is given on the use of neural networks for mobile robots and autonomous vehicles. We focus ...
Navigation is a major challenge for autonomous, mobile robots. The problem can basically be divided ...
In this paper we propose a neural network based navigation for intelligent autonomous mobile robots....
This paper deals with a path planning and intelligent control of an autonomous robot which should mo...
Motion planning is essential for mobile robot successful navigation. There are many algorithms for m...
A Polynomial-Neural-Network-based (PNN-based) path planning with an obstacle avoidance scheme is pro...
Online navigation with known target and unknown obstacles is an interesting problem in mobile roboti...
Robotic path planning and obstacle avoidance has been the subject of intensive research in recent ye...
Recently, navigation in an unknown environment without hitting obstacles was considered a big challe...
This paper presents a new methodology based on neural dynamics for robot path planning by drawing an...
This paper presents a new path planning algorithm for safe navigation of a mobile robot in dynamic a...
Developing mobile robots able to move autonomously and staying operational in unexplored environment...
in this present work we present a neural network navigation approach. To deal with cognitive asks su...
This paper presents a new methodology based on neural dynamics for optimal robot path planning by dr...
In this article we introduce a neural øeld approach for local path planning of an autonomous mobile ...
A review is given on the use of neural networks for mobile robots and autonomous vehicles. We focus ...
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