A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport Formations

Cooperative transportation using multi-robots is a significant challenge in robotics. For the problem, each robot is required, in general, to reach a different task-point to form a transport formation, where all the task-points are determined according to the shape of the transported object and the...

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Main Authors: Wang-Bao Xu, Gen-Xi Rong, Xiao-Ping Liu, Tian-Yun Huang, Xue-Bo Chen
Format: Article
Language:English
Published: SAGE Publishing 2016-01-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/62117
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spelling doaj-1e35423924c04e82ac45a8dd716051ca2020-11-25T03:24:08ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142016-01-011310.5772/6211710.5772_62117A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport FormationsWang-Bao Xu0Gen-Xi Rong1Xiao-Ping Liu2Tian-Yun Huang3Xue-Bo Chen4 School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan, P. R. China School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan, P. R. China Faculty of Engineering, Lakehead University, Thunder Bay, Canada School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan, P. R. China School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan, P. R. ChinaCooperative transportation using multi-robots is a significant challenge in robotics. For the problem, each robot is required, in general, to reach a different task-point to form a transport formation, where all the task-points are determined according to the shape of the transported object and the number of robots. A method based on bottleneck-linear assignment is proposed to form complex transport formations. First, the optimal paths from each robot to all the task-points are calculated by a two-direction path algorithm, which is developed in this paper as the core of the task-points' assignment. Second, in order to optimize the travelling paths of the robots and the time taken to establish the formation, a bottleneck-linear assignment strategy is presented to assign the task-points for the robots. Finally, an improved artificial moment motion controller makes each robot move along a sub-optimal path to reach its task-point. Simulations indicate that the proposed method is feasible and efficient.https://doi.org/10.5772/62117
collection DOAJ
language English
format Article
sources DOAJ
author Wang-Bao Xu
Gen-Xi Rong
Xiao-Ping Liu
Tian-Yun Huang
Xue-Bo Chen
spellingShingle Wang-Bao Xu
Gen-Xi Rong
Xiao-Ping Liu
Tian-Yun Huang
Xue-Bo Chen
A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport Formations
International Journal of Advanced Robotic Systems
author_facet Wang-Bao Xu
Gen-Xi Rong
Xiao-Ping Liu
Tian-Yun Huang
Xue-Bo Chen
author_sort Wang-Bao Xu
title A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport Formations
title_short A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport Formations
title_full A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport Formations
title_fullStr A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport Formations
title_full_unstemmed A Method Based on Bottleneck-Linear Assignment for Forming Complex Transport Formations
title_sort method based on bottleneck-linear assignment for forming complex transport formations
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2016-01-01
description Cooperative transportation using multi-robots is a significant challenge in robotics. For the problem, each robot is required, in general, to reach a different task-point to form a transport formation, where all the task-points are determined according to the shape of the transported object and the number of robots. A method based on bottleneck-linear assignment is proposed to form complex transport formations. First, the optimal paths from each robot to all the task-points are calculated by a two-direction path algorithm, which is developed in this paper as the core of the task-points' assignment. Second, in order to optimize the travelling paths of the robots and the time taken to establish the formation, a bottleneck-linear assignment strategy is presented to assign the task-points for the robots. Finally, an improved artificial moment motion controller makes each robot move along a sub-optimal path to reach its task-point. Simulations indicate that the proposed method is feasible and efficient.
url https://doi.org/10.5772/62117
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