A survey of path planning of industrial robots based on rapidly exploring random trees

Path planning is an essential part of robot intelligence. In this paper, we summarize the characteristics of path planning of industrial robots. And owing to the probabilistic completeness, we review the rapidly-exploring random tree (RRT) algorithm which is widely used in the path planning of indus...

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Detalles Bibliográficos
Autores principales: Luo, Sha, Zhang, Mingyue, Zhuang, Yongbo, Ma, Cheng, Li, Qingdang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654791/
https://www.ncbi.nlm.nih.gov/pubmed/38023457
http://dx.doi.org/10.3389/fnbot.2023.1268447
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author Luo, Sha
Zhang, Mingyue
Zhuang, Yongbo
Ma, Cheng
Li, Qingdang
author_facet Luo, Sha
Zhang, Mingyue
Zhuang, Yongbo
Ma, Cheng
Li, Qingdang
author_sort Luo, Sha
collection PubMed
description Path planning is an essential part of robot intelligence. In this paper, we summarize the characteristics of path planning of industrial robots. And owing to the probabilistic completeness, we review the rapidly-exploring random tree (RRT) algorithm which is widely used in the path planning of industrial robots. Aiming at the shortcomings of the RRT algorithm, this paper investigates the RRT algorithm for path planning of industrial robots in order to improve its intelligence. Finally, the future development direction of the RRT algorithm for path planning of industrial robots is proposed. The study results have particularly guided significance for the development of the path planning of industrial robots and the applicability and practicability of the RRT algorithm.
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spelling pubmed-106547912023-01-01 A survey of path planning of industrial robots based on rapidly exploring random trees Luo, Sha Zhang, Mingyue Zhuang, Yongbo Ma, Cheng Li, Qingdang Front Neurorobot Neuroscience Path planning is an essential part of robot intelligence. In this paper, we summarize the characteristics of path planning of industrial robots. And owing to the probabilistic completeness, we review the rapidly-exploring random tree (RRT) algorithm which is widely used in the path planning of industrial robots. Aiming at the shortcomings of the RRT algorithm, this paper investigates the RRT algorithm for path planning of industrial robots in order to improve its intelligence. Finally, the future development direction of the RRT algorithm for path planning of industrial robots is proposed. The study results have particularly guided significance for the development of the path planning of industrial robots and the applicability and practicability of the RRT algorithm. Frontiers Media S.A. 2023-11-03 /pmc/articles/PMC10654791/ /pubmed/38023457 http://dx.doi.org/10.3389/fnbot.2023.1268447 Text en Copyright © 2023 Luo, Zhang, Zhuang, Ma and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Luo, Sha
Zhang, Mingyue
Zhuang, Yongbo
Ma, Cheng
Li, Qingdang
A survey of path planning of industrial robots based on rapidly exploring random trees
title A survey of path planning of industrial robots based on rapidly exploring random trees
title_full A survey of path planning of industrial robots based on rapidly exploring random trees
title_fullStr A survey of path planning of industrial robots based on rapidly exploring random trees
title_full_unstemmed A survey of path planning of industrial robots based on rapidly exploring random trees
title_short A survey of path planning of industrial robots based on rapidly exploring random trees
title_sort survey of path planning of industrial robots based on rapidly exploring random trees
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654791/
https://www.ncbi.nlm.nih.gov/pubmed/38023457
http://dx.doi.org/10.3389/fnbot.2023.1268447
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