An experimental study on leader-follower coalition method for solving multirobot task allocation problems

Jian Chen, Dong Sun
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引用次数: 1

Abstract

This paper presents the recent development of a leader-follower coalition based task allocation methodology. The resources required by task implementation are utilized in modeling both the robots and the tasks. The robots are required to work cooperatively in forming coalitions to accomplish the tasks. There are two types of constraints for task-imposed resource. One is the basic constraint to guarantee fundamental task ability for individual robots involved in the task. The other one is the additional constraint to ensure all robot coalitions to possess sufficient resources for successful task implementation. Design of leader selection, coalition forming and coalition evaluation algorithms are presented in the paper. Experiments are performed on a group of heterogeneous mobile robots to demonstrate the effectiveness of the proposed approach.
求解多机器人任务分配问题的领导-从众联盟方法实验研究
本文介绍了一种基于领导-追随者联盟的任务分配方法的最新发展。将任务实现所需的资源用于机器人和任务的建模。机器人需要协同工作,形成联盟来完成任务。对于任务强加的资源,有两种类型的约束。一是保证参与任务的单个机器人具有基本任务能力的基本约束。另一个是确保所有机器人联盟拥有足够资源以成功执行任务的附加约束。本文给出了领导者选择、联盟形成和联盟评估算法的设计。在一组异构移动机器人上进行了实验,以验证所提出方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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