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Heuristic Formation Control in Multi-robot Systems Using Local Communication and Limited Identification

机译:使用本地通信和有限识别的多机器人系统启发式形成控制

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Groups of individuals often use formations as a means of providing orderly movement while distributing members in a manner that is advantageous to the group's activities. A particular formation may offer a defensive advantage over moving individually, for example, exposing only some of the agents to the proximity of enemies, or might increase group abilities by allowing individuals to limit perceptual focus to one small part of the environment. Formations are used throughout the natural world and in many organized human groups, and are equally valuable to multi-robot systems. Most formation control in multi-robot systems is extremely limited compared to the formations we see in nature: formations are precisely defined, and mechanisms for forming and maintaining formations often require unique labels for individuals and broadcast communication. In this paper, we explore a method for creating heuristic formations - where agents create an overall formation, but forgiveness exists for small variations in form - using only local rules for creating formations and allowing only local communication. Our approach defines relative positions in terms of a probability given the position of one's nearest neighbor, and improves on prior work by assuming that all agents do not begin knowing the unique labels of others in the group. The approach also assumes heterogeneity in sensing, in that agents may not be able to perceive the unique labels of others, and thus may require assistance from those who can. This assumptions make formations robust to the failure of individual agents, and allow previously unknown agents to join an existing formation. An evaluation of this approach is illustrated using Player/Stage, a commonly accepted simulation package for multi-robot systems, for controlled experimentation.
机译:个人群体经常使用地层作为提供有序运动的手段,同时以有利的方式分配成员,这是对本集团的活动的方式。特定地层可以在单独移动的情况下提供防御性的优势,例如,仅将一些药剂暴露在敌人的附近,或者可以通过允许个人将感知焦点限制在环境的一小部分中来增加群体能力。在整个自然世界和许多有组织的人类中使用的形成,并且对多机器人系统同样有价值。与我们本质上的地层相比,多机器人系统中的大多数形成控制非常有限:模板精确定义,形成和维护地层的机制通常需要独特的个人和广播通信标签。在本文中,我们探讨了创建启发式形成的方法 - 代理创建总体形成,但宽恕存在于表单的小变化 - 仅使用用于创建地层的本地规则并允许仅允许本地通信。我们的方法在给定邻居位置的概率方面定义了相对位置,并且通过假设所有代理没有开始了解组中其他人的独特标签,通过先前的工作来限定先前的工作。该方法还假设感测的异质性,因为代理商可能无法感知他人的独特标签,因此可能需要援助那些能够的人。这种假设使得地层对单个代理的失败鲁棒,并允许先前未知的代理加入现有的形成。使用玩家/阶段,用于多机器人系统的普通接受的模拟包,用于控制实验,示出了这种方法的评估。

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