Path-Planning Dynamic 3D Space Using Modified A Algorithm

Path planning is critical to the development of any robotic system or any autonomous moving vehicle in the modern world. The traditional planning algorithms such as the A*, D*, APF algorithms and more have scored great deal of efficiency along the way of path planning and navigating though some like...

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Published inIOP conference series. Materials Science and Engineering Vol. 928; no. 3; pp. 32016 - 32028
Main Authors Hussein Qahtan, Al Gburi, Ali Emad, AL-Baiati
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.11.2020
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Abstract Path planning is critical to the development of any robotic system or any autonomous moving vehicle in the modern world. The traditional planning algorithms such as the A*, D*, APF algorithms and more have scored great deal of efficiency along the way of path planning and navigating though some like the A* and D* lacks the ability to adopt the three-dimensional environments, since they have been intended to be light and fast in execution. This paper shows a modified version of the A* algorithm that works on 3D sphere space in both simple and cluttered environments. Giving ability to the algorithm to operate with float values and navigate around sphere obstacles safely, which is a closer scenario to the real world environments. The modified algorithm has the ability to avoid dynamic as well as static obstacles, generating semi-smooth and completely safe path from start point to the goal.
AbstractList Path planning is critical to the development of any robotic system or any autonomous moving vehicle in the modern world. The traditional planning algorithms such as the A*, D*, APF algorithms and more have scored great deal of efficiency along the way of path planning and navigating though some like the A* and D* lacks the ability to adopt the three-dimensional environments, since they have been intended to be light and fast in execution. This paper shows a modified version of the A* algorithm that works on 3D sphere space in both simple and cluttered environments. Giving ability to the algorithm to operate with float values and navigate around sphere obstacles safely, which is a closer scenario to the real world environments. The modified algorithm has the ability to avoid dynamic as well as static obstacles, generating semi-smooth and completely safe path from start point to the goal.
Abstract Path planning is critical to the development of any robotic system or any autonomous moving vehicle in the modern world. The traditional planning algorithms such as the A*, D*, APF algorithms and more have scored great deal of efficiency along the way of path planning and navigating though some like the A* and D* lacks the ability to adopt the three-dimensional environments, since they have been intended to be light and fast in execution. This paper shows a modified version of the A* algorithm that works on 3D sphere space in both simple and cluttered environments. Giving ability to the algorithm to operate with float values and navigate around sphere obstacles safely, which is a closer scenario to the real world environments. The modified algorithm has the ability to avoid dynamic as well as static obstacles, generating semi-smooth and completely safe path from start point to the goal.
Author Ali Emad, AL-Baiati
Hussein Qahtan, Al Gburi
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Cites_doi 10.1016/j.proeng.2014.12.098
10.1155/2016/7426913
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Latombe (MSE_928_3_032016bib8) 1991
Yang (MSE_928_3_032016bib9) 2016
Schouwenaars (MSE_928_3_032016bib2) 2006
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Snippet Path planning is critical to the development of any robotic system or any autonomous moving vehicle in the modern world. The traditional planning algorithms...
Abstract Path planning is critical to the development of any robotic system or any autonomous moving vehicle in the modern world. The traditional planning...
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StartPage 32016
SubjectTerms Algorithms
Barriers
Dynamic environment
Obstacle avoidance
Path planning
Sphere space
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Title Path-Planning Dynamic 3D Space Using Modified A Algorithm
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