Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRT

Aiming at the defect that the traditional artificial potential field method(APF) is easy to fall into the local minimum in the obstacle avoidance path planning of the 6-DOF dual-manipulator system,an improved APF algorithm combined with an improved rapidly-exploring random trees(RRT) algorithm is pr...

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Main Authors: Peng Peng, Zhian Zhang, Xuegong Huang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2022-04-01
Series:Jixie chuandong
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Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.04.007
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author Peng Peng
Zhian Zhang
Xuegong Huang
author_facet Peng Peng
Zhian Zhang
Xuegong Huang
author_sort Peng Peng
collection DOAJ
description Aiming at the defect that the traditional artificial potential field method(APF) is easy to fall into the local minimum in the obstacle avoidance path planning of the 6-DOF dual-manipulator system,an improved APF algorithm combined with an improved rapidly-exploring random trees(RRT) algorithm is proposed for obstacle avoidance path planning. The working space of the dual-manipulator system is analyzed,and the possibility of the interference of the dual-manipulator system is confirmed. For the path planning of the dual-manipulator,the improved APF is used to plan the path of the main manipulator,and it is used as the dynamic obstacle of the slave manipulator to plan the motion path of the slave manipulator. The improved RRT is used to adaptively select the temporary target points to solve the problem of falling into the local minimum when planning the path of the slave manipulator. The improved APF is used to plan the remaining path of the slave manipulator. Simulation analysis shows that the improved APF-RRT algorithm can solve the obstacle avoidance path planning problem of the dual-manipulator system more quickly and accurately than the traditional algorithm.
format Article
id doaj-art-1b5c5bcca94e4bf18609208755aad5f8
institution Kabale University
issn 1004-2539
language zho
publishDate 2022-04-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-1b5c5bcca94e4bf18609208755aad5f82025-01-10T13:59:27ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-04-0146485430518657Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRTPeng PengZhian ZhangXuegong HuangAiming at the defect that the traditional artificial potential field method(APF) is easy to fall into the local minimum in the obstacle avoidance path planning of the 6-DOF dual-manipulator system,an improved APF algorithm combined with an improved rapidly-exploring random trees(RRT) algorithm is proposed for obstacle avoidance path planning. The working space of the dual-manipulator system is analyzed,and the possibility of the interference of the dual-manipulator system is confirmed. For the path planning of the dual-manipulator,the improved APF is used to plan the path of the main manipulator,and it is used as the dynamic obstacle of the slave manipulator to plan the motion path of the slave manipulator. The improved RRT is used to adaptively select the temporary target points to solve the problem of falling into the local minimum when planning the path of the slave manipulator. The improved APF is used to plan the remaining path of the slave manipulator. Simulation analysis shows that the improved APF-RRT algorithm can solve the obstacle avoidance path planning problem of the dual-manipulator system more quickly and accurately than the traditional algorithm.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.04.007Dual-manipulatorArtificial potential fieldRRTPath planningLocal minimumTemporary target point
spellingShingle Peng Peng
Zhian Zhang
Xuegong Huang
Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRT
Jixie chuandong
Dual-manipulator
Artificial potential field
RRT
Path planning
Local minimum
Temporary target point
title Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRT
title_full Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRT
title_fullStr Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRT
title_full_unstemmed Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRT
title_short Dynamic Obstacle Avoidance Path Planning of Dual-Manipulator based on APF-RRT
title_sort dynamic obstacle avoidance path planning of dual manipulator based on apf rrt
topic Dual-manipulator
Artificial potential field
RRT
Path planning
Local minimum
Temporary target point
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.04.007
work_keys_str_mv AT pengpeng dynamicobstacleavoidancepathplanningofdualmanipulatorbasedonapfrrt
AT zhianzhang dynamicobstacleavoidancepathplanningofdualmanipulatorbasedonapfrrt
AT xuegonghuang dynamicobstacleavoidancepathplanningofdualmanipulatorbasedonapfrrt