...
首页> 外文期刊>Integrated Computer-Aided Engineering >A distributed approach to the control of multi-robot systems using XP colonies
【24h】

A distributed approach to the control of multi-robot systems using XP colonies

机译:使用XP殖民地控制多机器人系统的分布式方法

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

This paper proposes and demonstrates the viability of a novel approach to control multi-robot systems. This approach is based on computing with membranes (P systems) that is a branch of molecular computing inspired by the structure and function of biological cells. There are many variants to the original P system model that have been introduced and theoretically studied over the last two decades. Most of them were proved to be computationally universal. Many applications for P systems have been proposed including the recent use of numerical P systems to control a single robot. This paper makes several contributions to the area of P systems applied to robot control. First, it approaches the problem of controlling multi-robot systems containing dozens of robots with very limited capabilities. Second, it proposes the use of a symbolic approach based on XP colonies. Third, this paper presents a detailed comparison of the proposed solution to a standard one based on finite state machines, which highlights the advantages and disadvantages of the proposed solution. Finally, in addition to using physically realistic simulations, this paper demonstrates the feasibility of the proposed approach on real robots. The source code is available from an online repository, which makes all the experiments fully reproducible. Online demonstration videos illustrate all of the experiments.
机译:本文提出并展示了一种控制多机器人系统的新方法的可行性。该方法基于膜(P系统)计算,该膜(P系统)是由生物细胞的结构和功能的分子计算的分支。原始P系统模型有许多变体已经引入并在过去二十年中介绍和理论上研究过。总的来说,大多数人被证明是计算普遍的。已经提出了许多用于P系统的应用,包括最近使用数值P系统来控制单个机器人。本文对应用于机器人控制的P系统区域进行了几项贡献。首先,它接近控制包含数十个机器人的多机器人系统的问题,具有非常有限的能力。其次,它建议使用基于XP殖民地的符号方法。第三,本文介绍了基于有限状态机的标准液的所提出的解决方案的详细比较,突出了所提出的解决方案的优缺点。最后,除了使用物理上现实的模拟之外,本文还展示了拟议方法对真实机器人的可行性。源代码可从在线存储库中获取,这使得所有实验完全可重复。在线演示视频说明了所有实验。

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