...
首页> 外文期刊>IEEE Transactions on Robotics >Multi-Robot Coalition Formation
【24h】

Multi-Robot Coalition Formation

机译:多机器人联队

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

As the community strives towards autonomous multi-robot systems, there is a need for these systems to autonomously form coalitions to complete assigned missions. Numerous coalition formation algorithms have been proposed in the software agent literature. Algorithms exist that form agent coalitions in both super additive and non-super additive environments. The algorithmic techniques vary from negotiation-based protocols in multi-agent system (MAS) environments to those based on computation in distributed problem solving (DPS) environments. Coalition formation behaviors have also been discussed in relation to game theory. Despite the plethora of MAS coalition formation literature, to the best of our knowledge none of the proposed algorithms have been demonstrated with an actual multi-robot system. There exists a discrepancy between the multi-agent algorithms and their applicability to the multi-robot domain. This paper aims to bridge that discrepancy by unearthing the issues that arise while attempting to tailor these algorithms to the multi-robot domain. A well-known multi-agent coalition formation algorithm has been studied in order to identify the necessary modifications to facilitate its application to the multi-robot domain. This paper reports multi-robot coalition formation results based upon simulation and actual robot experiments. A multi-agent coalition formation algorithm has been demonstrated on an actual robot system.
机译:随着社区朝着自主多机器人系统的方向努力,需要这些系统自主组成联盟以完成分配的任务。在软件代理文献中已经提出了许多联盟形成算法。存在在超级加性和非超级加性环境中都形成代理联盟的算法。从多代理系统(MAS)环境中基于协商的协议到分布式问题解决(DPS)环境中基于计算的协议,算法技术都有所不同。联盟形成行为也已与博弈论进行了讨论。尽管有大量的MAS联盟形成文献,但就我们所知,没有使用实际的多机器人系统演示过所提出的算法。多智能体算法及其在多机器人领域的适用性之间存在差异。本文旨在通过发掘在尝试将这些算法调整为多机器人领域时出现的问题来弥合这种差异。为了确定必要的修改以便于将其应用于多机器人领域,已经研究了一种众所周知的多主体联盟形成算法。本文基于仿真和实际机器人实验报告了多机器人联合形成的结果。已经在实际的机器人系统上演示了多主体联盟形成算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号