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首页> 外文期刊>The International journal of robotics research >Planning for provably reliable navigation using an unreliable, nearly sensorless robot
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Planning for provably reliable navigation using an unreliable, nearly sensorless robot

机译:使用不可靠,几乎没有传感器的机器人规划可证明可靠的导航

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摘要

This paper addresses a navigation problem for a certain type of simple mobile robot modeled as a point moving in the plane. The only requirement on the robot is that it must be able to translate in a desired direction, with bounded angular error (measured in a global reference frame), until it reaches the nearest obstacle in its motion direction. One straightforward realization of this capability might use a noisy compass and a contact sensor. We present a planning algorithm that enables such a robot to navigate reliably through its environment. The algorithm constructs a directed graph in which each node is labeled with a subset of the environment boundary. Each edge of the graph is labeled with a sequence of actions that can move the robot from any location in one such set to some location in the other set. We use a variety of local planners to generate the edges, including a "corner-finding" technique that allows the robot to travel to and localize itself at a convex vertex of the environment boundary. The algorithm forms complete plans by searching the resulting graph. We have implemented this algorithm and present results from both simulation and a proof of concept physical realization.
机译:本文针对某类简单的移动机器人的导航问题进行了建模,该机器人建模为在平面上移动的点。对机器人的唯一要求是,它必须能够在期望的方向上平移,并带有有限的角度误差(在全局参考框架中测量),直到它在其运动方向上到达最近的障碍物为止。这种功能的一种直接实现可能是使用嘈杂的罗盘和接触传感器。我们提出了一种规划算法,可使此类机器人在其环境中可靠地导航。该算法构造一个有向图,其中每个节点都标记有环境边界的子集。图形的每个边缘都标记有一系列动作,这些动作可以使机器人从一个这样的组中的任何位置移动到另一组中的某个位置。我们使用各种本地规划器来生成边缘,包括“转角”技术,该技术使机器人可以行驶并定位在环境边界的凸顶点处。该算法通过搜索结果图来形成完整的计划。我们已经实现了该算法,并给出了仿真结果和概念证明的物理实现结果。

著录项

  • 来源
    《The International journal of robotics research》 |2013年第11期|1342-1357|共16页
  • 作者单位

    Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA;

    Department of Computer Science and Engineering, University of South Carolina, 315 Main Street, Swcaringen Engineering Center, Columbia, SC 29208, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Planning; navigation;

    机译:规划;导航;

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