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 in | IOP conference series. Materials Science and Engineering Vol. 928; no. 3; pp. 32016 - 32028 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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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. |
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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 |
ContentType | Journal Article |
Copyright | Published under licence by IOP Publishing Ltd 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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References | Yang (MSE_928_3_032016bib4) 2015; 6 Ducho (MSE_928_3_032016bib6) 2014 Yang (MSE_928_3_032016bib7) 2016 Abu-Bakar (MSE_928_3_032016bib11) 2010 Masudur Rahman Al-Arif (MSE_928_3_032016bib12) 2012; 39 van den Berg (MSE_928_3_032016bib10) 2007 Bell (MSE_928_3_032016bib1) 2010 Choset (MSE_928_3_032016bib3) 2005 Opoku (MSE_928_3_032016bib5) 2013; 67 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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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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