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GrasSmart: An Intelligent Robotic System for Continuous Area Coverage

机译:草地:连续面积覆盖的智能机器人系统

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This work implements and simulates the problem known as, coverage of a continuous planar area by a mobile robot. The robot is given a bitmap of a known geometric area as an input, and derives an optimal path of coverage by implementing and improving the On-line Full Scan Spanning Tree Covering (STC) algorithm[l]. The path is calculated for the continuous area coverage by defining a DFS (Depth First Search) spanning tree. We improved the STC algorithm by optimizing U-Turns of the path, and optimizing the shifting of the path directions, moreover, we suggest using different sensor information, which reduces errors. The results of our work are presented by a 3D simulation program which mimics the grass robots' path and statistical calculations for testing optimality.
机译:这种工作实现并模拟了称为移动机器人的不连续平面区域的问题。机器人被称为已知几何区域的位图作为输入,通过实现和改进在线全扫描生成树覆盖(STC)算法[L]来导出覆盖的最佳路径。通过定义DFS(深度第一搜索)生成树来计算用于连续区域覆盖的路径。我们通过优化路径的U形匝数来改进STC算法,而优化路径方向的移位,我们建议使用不同的传感器信息,这减少了错误。我们的工作结果由3D模拟程序提出,它模仿草机器人的路径和统计计算以测试最优性。

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