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Mobile robot navigation for complete coverage of an environment

机译:移动机器人导航,以完成环境的完整覆盖

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Inspired by the Spanning Tree Covering (STC) algorithm of Gabriely and Rimon, a novel algorithm of complete coverage for known environments is developed. Unlike the original STC algorithm, we detect dynamic elements of the environment and efficiently update the solution when changes are observed. The contribution is a path replanning algorithm that reduces overlapping when the part of the environment is changed. Experiments show that the proposed algorithm is capable of planning complete coverage robot paths with 70.27% coverage and without overlapping.
机译:灵感来自Gabriely和Rimon的生成树覆盖(STC)算法,开发了一种新的已知环境的完整覆盖算法。与原始STC算法不同,我们检测到环境的动态元素,并在观察更改时有效更新解决方案。贡献是当改变环境部分时减少重叠的路径重新算法。实验表明,该算法能够规划完整的覆盖机器人路径,覆盖70.27%,不重叠。

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