首页> 外文会议>Parallel and Distributed Computing, Applications and Technologies, 2009 >Tutorial 1-3: Leader Election and Pattern Formation in Swarms of Deterministic Robots
【24h】

Tutorial 1-3: Leader Election and Pattern Formation in Swarms of Deterministic Robots

机译:教程1-3:确定性机器人群体中的领导者选举和模式形成

获取原文

摘要

In a given environment, the ability for the swarm of robots to succeed in the accomplishment of the assigned task greatly depends on global properties assigned to the swarm, and individual capabilities each robot has. Examples of such global properties are the ability to distinguish among themselves at least one (or, more) robots (leader), to agree on a common global direction (sense of direction), or to agree on a common handedness (chirality). The individual capacities of each robot are its moving capabilities and its sensory organs. To deal with cost, flexibility, resilience to dysfunction, and autonomy, many problems arise for handling the distributed coordination of swarms of robots in a deterministic manner. This issue is motivated by the minimal level of ability that the robots are required to have in the accomplishment of basic cooperative tasks. In other words, the feasibility of some given tasks is addressed assuming swarm of autonomous robots either devoid or not of capabilities like (observable) identifiers, direct means of communication, means of storing previous observations, sense of direction, chirality, etc. Leader election and arbitrary pattern formation are fundamental tasks for a set of autonomous mobile robots. The former consists in moving the system from an initial configuration were all entities are in the same state into a final configuration were all entities are in the same state, except one, the leader. The latter consists in the design of protocols allowing autonomous mobile robots to form any (arbitrary) geometric pattern. The solvability of both these tasks turns out to be necessary in order to achieve more complex tasks. During this tutorial, we address both problems. We first consider the deterministic solvability of the pattern formation problem assuming swarms of anonymous robots. Next, under the same assumptions, we provide a complete characterization (necessary and sufficient conditions) on the robots positions to deterministical-ly elect a leader. Finally, we show that Leader Election and Pattern Formation are two equivalent problems in the precise sense that, the former is solvable if and only if the latter problem is solvable.
机译:在给定的环境中,机器人群成功完成分配的任务的能力在很大程度上取决于分配给该群体的全局属性以及每个机器人具有的个别功能。此类全局属性的示例是在彼此之间区分至少一个(或多个)机器人(领导者),就共同的全局方向达成共识(方向感)或就共同的惯性(手性)达成共识的能力。每个机器人的个人能力就是其移动能力和感觉器官。为了处理成本,灵活性,对功能障碍的适应性和自治性,以确定的方式处理机器人群的分布式协调会出现许多问题。此问题是由机器人在完成基本协作任务时需要具备的最低能力引起的。换句话说,假定无人驾驶机器人群体缺乏(或没有)(可观察到的)标识符,直接通信手段,存储先前观察结果的手段,方向感,手性等能力,可以解决某些给定任务的可行性。任意模式的形成是一组自主移动机器人的基本任务。前者在于将系统从初始配置(所有实体都处于相同状态)移动到最终配置,而所有实体都处于相同状态(最终者除外)。后者在于协议的设计,该协议允许自主移动机器人形成任何(任意)几何图案。为了完成更复杂的任务,这两个任务的可解性都是必需的。在本教程中,我们将解决两个问题。我们首先考虑假设有大量匿名机器人的模式形成问题的确定性可解性。接下来,在相同的假设下,我们对机器人的位置提供了完整的特征描述(必要条件和充分条件),以便确定性地- 选举一位领导人。最后,从精确的意义上讲,我们证明了领导者选举和模式形成是两个等价的问题,前者在且仅当后者问题可以解决时才是可解决的。

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