...
首页> 外文期刊>The International journal of robotics research >Sensor-Based Exploration: Incremental Construction of the Hierarchical Generalized Voronoi Graph
【24h】

Sensor-Based Exploration: Incremental Construction of the Hierarchical Generalized Voronoi Graph

机译:基于传感器的探索:分层广义Voronoi图的增量构造

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This paper prescribes an incremental procedure to construct roadmaps of unknown environments. Recall that a roadmap is a ge- ometric structure that a robot uses to plan a path berween two points in an environment. If the robot knows the rondmap, then it knows the environment. Likewise, if the robot constructs the roadmap, then it has effectively explored the emvironment. This paper focuses on the hierarchical generalized Voronoi graph (HGVG), detailed in the companion paper in this issue. The incremental construction proce- dure of the HGVG requires only local distance sensor measurements, and therefore the method can be used as a basis for sensor-based planning algorithms. Simulations and experiments using a mobile robot with ultrasonic sensors verify this approach.
机译:本文规定了一种增量程序来构造未知环境的路线图。回想一下,路线图是机器人用来规划环境中两点之间的路径的几何结构。如果机器人知道rondmap,那么它就会知道环境。同样,如果机器人构造了路线图,则它已经有效地探索了环境。本文关注于分层广义Voronoi图(HGVG),本期随行文件对此进行了详细介绍。 HGVG的增量施工程序仅需要对本地距离传感器进行测量,因此该方法可以用作基于传感器的计划算法的基础。使用带有超声波传感器的移动机器人进行的仿真和实验验证了这种方法。

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