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Two-phase Stepwise Clustering by a Virtual Robot Deploying in an Obstacle Region

机译:部署在障碍区域中的虚拟机器人的两阶段逐步聚类

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A region filled with stationary and non-stationary obstacles always needs a path,based on clustering all the obstacles,for moving of autonomous robots.This paper provides a method,called "two-phase stepwise clustering" to solve this problem.Phase I uses Dendrogram as an approach for the preliminary clustering in the beginning to avoid misleading of the path start.Phase II links piecewise segments from centers of triangles deployed by neural discrimination.In the simulation,two paths constructed from longitudinal deployment and lateral deployment links each other and thus forms a robot path and also an envelope as clustering obstacles.
机译:一个充满固定和非固定障碍物的区域始终需要一条路径,以对所有障碍物进行聚类,以使自主机器人运动。本文提供了一种称为“两阶段逐步聚类”的方法来解决此问题。树状图是一种用于在开始时进行初步聚类的方法,以避免对路径起点产生误导。第二阶段将神经识别展开的三角形中心的分段分段连接起来。在仿真中,从纵向展开和横向展开构造的两条路径相互链接,并且这样就形成了机器人路径,并且还形成了一个包围集群的障碍物。

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