Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm

With the development of artificial intelligence technology, robotic arm picking and path finding based on AI technology has attracted more and more attention. How to use the path search algorithm in a relatively short time is a huge challenge in the optimization of robot picking path. Most of the ex...

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Autores principales:	Liang Chen, Hanxu Sun
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Artificial intelligence A* algorithm differential evolution intelligent path finding Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7da8b4dba6ed4291b7f3aaee893ae65b
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id	oai:doaj.org-article:7da8b4dba6ed4291b7f3aaee893ae65b
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spelling	oai:doaj.org-article:7da8b4dba6ed4291b7f3aaee893ae65b2021-11-25T00:00:56ZPicking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm2169-353610.1109/ACCESS.2021.3060738https://doaj.org/article/7da8b4dba6ed4291b7f3aaee893ae65b2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9359738/https://doaj.org/toc/2169-3536With the development of artificial intelligence technology, robotic arm picking and path finding based on AI technology has attracted more and more attention. How to use the path search algorithm in a relatively short time is a huge challenge in the optimization of robot picking path. Most of the existing path finding methods based on the A* algorithm have the problems of long search time and non-optimal path. Most of them achieve poor results in the optimization of robotic arm picking paths. This paper proposes an AI intelligent path finding method based on differential evolution and improved A* algorithm. The method mainly achieves fast path search by accurately filtering abnormal conditions to achieve a higher convergence rate. The experimental results show that the method proposed in this paper has faster search speed and better path selection than the existing methods. The AI intelligent path finding method based on differential evolution and improved A* algorithm for robotic arm picking is feasible and effective.Liang ChenHanxu SunIEEEarticleArtificial intelligenceA* algorithmdifferential evolutionintelligent path findingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 154413-154422 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Artificial intelligence A* algorithm differential evolution intelligent path finding Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Artificial intelligence A* algorithm differential evolution intelligent path finding Electrical engineering. Electronics. Nuclear engineering TK1-9971 Liang Chen Hanxu Sun Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm
description	With the development of artificial intelligence technology, robotic arm picking and path finding based on AI technology has attracted more and more attention. How to use the path search algorithm in a relatively short time is a huge challenge in the optimization of robot picking path. Most of the existing path finding methods based on the A* algorithm have the problems of long search time and non-optimal path. Most of them achieve poor results in the optimization of robotic arm picking paths. This paper proposes an AI intelligent path finding method based on differential evolution and improved A* algorithm. The method mainly achieves fast path search by accurately filtering abnormal conditions to achieve a higher convergence rate. The experimental results show that the method proposed in this paper has faster search speed and better path selection than the existing methods. The AI intelligent path finding method based on differential evolution and improved A* algorithm for robotic arm picking is feasible and effective.
format	article
author	Liang Chen Hanxu Sun
author_facet	Liang Chen Hanxu Sun
author_sort	Liang Chen
title	Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm
title_short	Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm
title_full	Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm
title_fullStr	Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm
title_full_unstemmed	Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A* Algorithm
title_sort	picking path optimization of mobile robotic arm based on differential evolution and improved a* algorithm
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/7da8b4dba6ed4291b7f3aaee893ae65b
work_keys_str_mv	AT liangchen pickingpathoptimizationofmobileroboticarmbasedondifferentialevolutionandimprovedax002aalgorithm AT hanxusun pickingpathoptimizationofmobileroboticarmbasedondifferentialevolutionandimprovedax002aalgorithm
_version_	1718414701724958720

Picking Path Optimization of Mobile Robotic Arm Based on Differential Evolution and Improved A&#x002A; Algorithm

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