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Using local information in a non-local way for mapping graph-like worlds

机译:以非本地方式使用本地信息来映射类似图形的世界

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This paper describes a technique whereby an autonomous agent such as a mobile robot can explore an unknown environment and make a topological map of it. It is assumed that the environment can be represented as a graph, that is, as a fixed set of discrete locations or regions with an ordered set of paths between them. In previous work, it has been shown that such worlds can be fully explored and described using a single movable marker even if there are no spatial metrics and almost, no sensory ability on the part of the robot. Here we present an approach to the exploration of unknown worlds without such a movable marker which is simply based on the structure of the world itself. Locations in the world are identified by a non-unique "signature" that serves as an abstraction for a percept that might be obtained from a robotic sensor. While the signature of any single location may not be unique, under appropriate conditions the distinctiveness of a particular set of signatures in a neighborhood increases with neighborhood size. By using a collection of non-unique local signatures we can thereby construct an "extended" signature that uniquely determines the robot's position (although in certain degenerate worlds additional information is required).
机译:本文介绍了一种技术,通过该技术,自治代理(例如移动机器人)可以探索未知环境并为其绘制拓扑图。假定可以将环境表示为图形,即固定的一组离散位置或区域,并在它们之间设置有序的路径。在以前的工作中,已经表明,即使机器人没有空间度量并且几乎没有感觉能力,也可以使用单个可移动标记物来全面探索和描述这样的世界。在这里,我们提出了一种探索未知世界的方法,该方法无需简单地基于世界本身结构的可移动标记。世界上的位置由非唯一的“签名”标识,该签名充当对可能从机器人传感器获得的感知的抽象。尽管任何单个位置的签名都可能不是唯一的,但是在适当的条件下,邻域中一组特定签名的独特性会随着邻域的大小而增加。通过使用非唯一的本地签名的集合,我们可以构造一个“扩展的”签名来唯一地确定机器人的位置(尽管在某些退化的世界中需要附加信息)。

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