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Constructing a Map of an Anonymous Graph:Applications of Universal Sequences

机译:构造匿名图的图:通用序列的应用

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We study the problem of mapping an unknown environment represented as an unlabelled undirected graph. A robot (or automaton) starting at a single vertex of the graph G has to traverse the graph and return to its starting point building a map of the graph in the process. We are interested in the cost of achieving this task (whenever possible) in terms of the number of edge traversal made by the robot. Another optimization criteria is to minimize the amount of information that the robot has to carry when moving from node to node in the graph.rnWe present efficient algorithms for solving map construction using a robot that is not allowed to mark any vertex of the graph, assuming the knowledge of only an upper bound on the size of the graph. We also give universal algorithms (independent of the size of the graph) for map construction when only the starting location of the robot is marked. Our solutions apply the technique of universal exploration sequences to solve the map construction problem under various constraints. We also show how the solution can be adapted to solve other problems such as the gathering of two identical robots dispersed in an unknown graph.
机译:我们研究了映射未知环境的问题,该未知环境表示为未标记的无向图。从图G的单个顶点开始的机器人(或自动机)必须遍历图并返回其起点,从而在此过程中构建图的图。在可能的情况下,我们对通过机器人进行的边沿遍历次数所产生的成本感兴趣。另一个优化标准是最小化机器人在图中从一个节点移动到另一个节点时必须携带的信息量。我们提出了一种有效的算法,用于使用不允许标记图的任何顶点的机器人来解决地图构造问题。仅了解图形大小的上限。当仅标记机器人的起始位置时,我们还提供了用于构建地图的通用算法(与图形大小无关)。我们的解决方案采用通用探索序列技术来解决各种约束下的地图构建问题。我们还将展示该解决方案如何适用于解决其他问题,例如收集散布在未知图中的两个相同的机器人。

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