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A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments.

机译:在未知环境中,一种基于前沿的多机器人覆盖方法。

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摘要

With the emergence of technology in our daily lives, robots are being increasingly used for coverage tasks which were earlier considered too dangerous or monotonous to be performed by humans such as interplanetary exploration and search & rescue. Out of all the multi-robot coverage approaches, the frontier based approach is one of the most widely used. Most of the coverage approaches developed so far, face the issue of frontier duplication and require access to the maps of the environment prior to coverage. In this work, we have developed a new frontier based approach for multi-robot coverage in unknown environments. This new approach is scalable to multiple robots and does not require prior access to the maps. This approach also uses a new frontier allocation and robot coordination algorithm, which reduces the frontier duplication in the robots and improves the efficiency of robot coverage.
机译:随着我们日常生活中技术的兴起,机器人正越来越多地用于覆盖任务,这些任务以前被认为太危险或单调,无法由人类执行,例如星际探索,搜索和救援。在所有多机器人覆盖方法中,基于边界的方法是使用最广泛的方法之一。迄今为止,开发的大多数覆盖方法都面临着边界重复的问题,并且需要在覆盖之前访问环境图。在这项工作中,我们为未知环境中的多机器人覆盖率开发了一种基于前沿的新方法。这种新方法可扩展到多个机器人,并且不需要事先访问地图。这种方法还使用了新的边界分配和机器人协调算法,从而减少了机器人中的边界重复并提高了机器人覆盖的效率。

著录项

  • 作者

    Parti, Sushil.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Computer science.;Robotics.
  • 学位 M.Sc.
  • 年度 2016
  • 页码 132 p.
  • 总页数 132
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:48:14

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