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Exploring Polygonal Environments by Simple Robots with Faulty Combinatorial Vision

机译:有错误组合视觉的简单机器人探索多边形环境

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We study robustness issues of basic exploration tasks of simple robots inside a polygon P when sensors provide possibly faulty information about the unlabelled environment P. Ideally, the simple robot we consider is able to sense the number and the order of visible vertices, and can move to any such visible vertex. Additionally, the robot senses whether two visible vertices form an edge of P. We call this sensing a combinatorial vision. The robot can use pebbles to mark vertices. If there is a visible vertex with a pebble, the robot knows (senses) the index of this vertex in the list of visible vertices in counterclockwise order. It has been shown [1] that such a simple robot, using one pebble, can virtually label the visible vertices with their global indices, and navigate consistently in P. This allows, for example, to compute the map or a triangulation of P. In this paper we revisit some of these computational tasks in a faulty environment, in that we model situations where the sensors "see" two visible vertices as one vertex. In such a situation, we show that a simple robot with one pebble cannot even compute the number of vertices of P. We conjecture (and discuss) that this is neither possible with two pebbles. We then present an algorithm that uses three pebbles of two types, and allows the simple robot to count the vertices of P. Using this algorithm as a subroutine, we present algorithms that reconstruct the map of P, as well as the correct visibility at every vertex of P.
机译:当传感器提供有关未标记环境P的可能有故障的信息时,我们研究多边形P内的简单机器人的基本探索任务的鲁棒性问题。理想情况下,我们考虑的简单机器人能够感知可见顶点的数量和顺序,并且可以移动到任何这样的可见顶点。此外,机器人还可以检测两个可见的顶点是否形成P的边缘。我们称其为组合视觉。机器人可以使用鹅卵石标记顶点。如果存在带有卵石的可见顶点,则机器人会按逆时针顺序知道(感知)可见顶点列表中该顶点的索引。已经显示[1],这种简单的机器人使用一个卵石可以虚拟地标记可见顶点及其全局索引,并在P中始终如一地导航。例如,这允许计算地图或P的三角剖分。在本文中,我们在有故障的环境中重新研究了其中的一些计算任务,因为我们对传感器“看到”两个可见的顶点作为一个顶点的情况进行了建模。在这种情况下,我们表明具有一个卵石的简单机器人甚至无法计算P的顶点数。我们推测(并讨论)两个卵石都不可能实现。然后,我们提出一种算法,该算法使用两种类型的三个小卵石,并允许简单的机器人对P的顶点进行计数。使用此算法作为子例程,我们提出了重建P的图以及正确的可见性的算法。 P的顶点

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