人道主义排雷机器人网络分布式计算控制方案

Victor Sillerico-Justo
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引用次数: 1

摘要

多机器人系统预计将成为帮助人类从事人道主义排雷等危险活动的新工具。然而,控制机器人的群体行为并不是一项微不足道的任务,因为它们需要适当地处理信息,以便以系统的形式实现这些团队目标。以前的工作没有明确区分协调和合作所起的作用,也没有明确区分机器人网络中一致性的重要性。本文提出了一种考虑同意变量的分布式控制方案。变量值由机器人以一致的方式设置,以协调共同的动作。最后,机器人之间通过局部交互相互协作,共享系统信息。采用自底向上的方法开发分布式控制策略,并在Robotarium平台(一个可访问的移动机器人试验台)的真实机器人上进行了仿真和实验验证。结果表明,使用一种控制方案来组织网络系统中机器人计算信息的方式,构建集体行为是可能的。特别是,为区域减少任务开发的渐进减少行为,展示了机器人如何探索可疑的杀伤人员地雷污染区域以检测它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control Scheme for Distributed Computing in Robot Networks Destined to Humanitarian Demining
Multi-robot systems are projected as novel tools to help humans in hazardous activities such as humanitarian demining. Nevertheless, controlling a robot group behaviors is not a trivial task, since they need to process information suitably so those team goals are achieved in a systematic form. Previous work has not made a clear distinction between the role played by coordination and cooperation, or the importance of conformity in robot networks. In this paper, a distributed control scheme is presented wich considers consent variables. The variables values are set by the robots in a consensus way to coordinate common actions. Finally, robots cooperate each other using local interactions sharing system information. Bottom-Up methodology is used to develop the distributed control strategy, which has been validated using simulation and experimentation with real robots of the Robotarium platform, an accessible mobile robot testbeds. The results show that it is possible constructing collective be-haviors using a control scheme that organize the way in which the information is computed by robots in a network system. In particular, the Progressive Reduction behavior, developed for the Area Reduction task, show how robots can explore suspected areas of contamination with antipersonnel mines to detect them.
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