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Optimum Path Planning for Mobile Robots in Static Environments using Graph Modelling and NURBS Curves

机译:使用图建模和NURBS曲线的静态环境中移动机器人的最佳路径规划

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摘要

This paper proposed a new approach for optimum path planning in 2D environments cluttered with static obstacles. The presented model consists of four steps.In the first step, the skeleton of free obstacles space is extracted. The thin lines are converted into a graph in the second step, the determination of shortest length trajectory is done in the third step. The last step is consacred to construct the optimal path with a NURBS curve. Quantitative analysis are presented to validate the approach.
机译:本文提出了一种新方法,用于在充满静态障碍物的二维环境中进行最佳路径规划。该模型包括四个步骤。第一步,提取自由障碍空间的骨架。在第二步中将细线转换为图形,在第三步中确定最短长度轨迹。最后一步很重要,可以用NURBS曲线构造最佳路径。提出定量分析以验证该方法。

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