Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field Method

In the process of the multi-robot collaboration, the problem of path planning is necessary to consider the barrier of static obstacles, but also to avoid collisions between the collaborative robots. This paper selected artificial potential field method as the basic method of path planning, and propo...

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Main Authors: Yang Zhaofeng, Zhang Ruizhe
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2014-02-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_RP_0076.pdf
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spelling doaj-e8c0249e39d9493ea544438a17edde602020-11-24T22:04:54ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-02-011652221226Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field MethodYang Zhaofeng0Zhang Ruizhe1Software Engineering School of Pingdingshan University, Pingdingshan Henan, 467002, China Computer Science and Technic Academy Department, Pingdingshan Henan, 467002, ChinaIn the process of the multi-robot collaboration, the problem of path planning is necessary to consider the barrier of static obstacles, but also to avoid collisions between the collaborative robots. This paper selected artificial potential field method as the basic method of path planning, and proposed improvement strategies for its unreachable goal and the problem of easy to fall into local minimum value and other issues. In theory, improvement measures of this paper can make repulsive force of the robot close to the obstacles around target tends to 0, and forms path planning along the edge of the obstacles. Simulation results show that the proposed method can effectively solve the inherent problems of artificial potential field to form a satisfactory path planning. http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_RP_0076.pdfArtificial potential field methodMulti-robot writingPath planningLocal minimum value.
collection DOAJ
language English
format Article
sources DOAJ
author Yang Zhaofeng
Zhang Ruizhe
spellingShingle Yang Zhaofeng
Zhang Ruizhe
Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field Method
Sensors & Transducers
Artificial potential field method
Multi-robot writing
Path planning
Local minimum value.
author_facet Yang Zhaofeng
Zhang Ruizhe
author_sort Yang Zhaofeng
title Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field Method
title_short Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field Method
title_full Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field Method
title_fullStr Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field Method
title_full_unstemmed Path Planning of Multi-robot Cooperation for Avoiding Obstacle Based on Improved Artificial Potential Field Method
title_sort path planning of multi-robot cooperation for avoiding obstacle based on improved artificial potential field method
publisher IFSA Publishing, S.L.
series Sensors & Transducers
issn 2306-8515
1726-5479
publishDate 2014-02-01
description In the process of the multi-robot collaboration, the problem of path planning is necessary to consider the barrier of static obstacles, but also to avoid collisions between the collaborative robots. This paper selected artificial potential field method as the basic method of path planning, and proposed improvement strategies for its unreachable goal and the problem of easy to fall into local minimum value and other issues. In theory, improvement measures of this paper can make repulsive force of the robot close to the obstacles around target tends to 0, and forms path planning along the edge of the obstacles. Simulation results show that the proposed method can effectively solve the inherent problems of artificial potential field to form a satisfactory path planning.
topic Artificial potential field method
Multi-robot writing
Path planning
Local minimum value.
url http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_RP_0076.pdf
work_keys_str_mv AT yangzhaofeng pathplanningofmultirobotcooperationforavoidingobstaclebasedonimprovedartificialpotentialfieldmethod
AT zhangruizhe pathplanningofmultirobotcooperationforavoidingobstaclebasedonimprovedartificialpotentialfieldmethod
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