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...
Main Authors: | , |
---|---|
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 |
id |
doaj-e8c0249e39d9493ea544438a17edde60 |
---|---|
record_format |
Article |
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 |
_version_ |
1725828212763656192 |