On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm

  Manufacturing systems of the future foresee the use of intelligent vehicles, optimizing and navigating. The navigational problem is an important and challenging problem in the field of robotics. The robots often find themselves in a situation where they must find a trajectory to another position...

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Main Author: W. N. Abdullah
Format: Article
Language:English
Published: University of Baghdad 2017-05-01
Series:Ibn Al-Haitham Journal for Pure and Applied Sciences
Subjects:
Online Access:https://jih.uobaghdad.edu.iq/index.php/j/article/view/1018
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author W. N. Abdullah
author_facet W. N. Abdullah
author_sort W. N. Abdullah
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description   Manufacturing systems of the future foresee the use of intelligent vehicles, optimizing and navigating. The navigational problem is an important and challenging problem in the field of robotics. The robots often find themselves in a situation where they must find a trajectory to another position in their environment, subject to constraints posed by obstacles and the capabilities of the robot itself. On-line navigation is a set of algorithms that plans and executes a trajectory at the same time.         The system adopted in this research searches for a robot collision-free trajectory in a dynamic environment in which obstacles can move while the robot was moving toward the target. So, the robot must operate in real-time such that the system reacts to unexpected obstacles.       Genetic algorithms that have been used successfully in many search problems are used to solve the on-line navigation problem with less computational cost. The system uses genetic algorithm as a search method for an optimal trajectory.
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spelling doaj.art-88f99bcb96444fa08686fc96d328a8772022-12-22T00:44:37ZengUniversity of BaghdadIbn Al-Haitham Journal for Pure and Applied Sciences1609-40422521-34072017-05-01232On-Line Navigational Problem of a Mobile Robot Using Genetic AlgorithmW. N. Abdullah   Manufacturing systems of the future foresee the use of intelligent vehicles, optimizing and navigating. The navigational problem is an important and challenging problem in the field of robotics. The robots often find themselves in a situation where they must find a trajectory to another position in their environment, subject to constraints posed by obstacles and the capabilities of the robot itself. On-line navigation is a set of algorithms that plans and executes a trajectory at the same time.         The system adopted in this research searches for a robot collision-free trajectory in a dynamic environment in which obstacles can move while the robot was moving toward the target. So, the robot must operate in real-time such that the system reacts to unexpected obstacles.       Genetic algorithms that have been used successfully in many search problems are used to solve the on-line navigation problem with less computational cost. The system uses genetic algorithm as a search method for an optimal trajectory. https://jih.uobaghdad.edu.iq/index.php/j/article/view/1018Navigational Problem, On-line Navigational Problem, Genetic algorithm.
spellingShingle W. N. Abdullah
On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm
Ibn Al-Haitham Journal for Pure and Applied Sciences
Navigational Problem, On-line Navigational Problem, Genetic algorithm.
title On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm
title_full On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm
title_fullStr On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm
title_full_unstemmed On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm
title_short On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm
title_sort on line navigational problem of a mobile robot using genetic algorithm
topic Navigational Problem, On-line Navigational Problem, Genetic algorithm.
url https://jih.uobaghdad.edu.iq/index.php/j/article/view/1018
work_keys_str_mv AT wnabdullah onlinenavigationalproblemofamobilerobotusinggeneticalgorithm