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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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 |
work_keys_str_mv |
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