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

机译:通过虚拟机器人部署在障碍区域中的两相逐步聚类

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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:一个充满静止和非静止障碍的地区总是需要一种基于聚类所有障碍的路径,用于移动自主机器人。本文提供了一种方法,称为“两相逐步聚类”来解决此问题。我使用dendrogram作为开始初步聚类的方法,以避免路径启动的误导。从神经识别部署的三角形中心链接分段段。在模拟中,由纵向部署和横向部署的两个路径彼此链接因此,形成机器人路径,也是聚类障碍物的信封。

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