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A PGD-based Method for Robot Global Path Planning: A Primer

机译:基于PGD的机器人全局路径规划方法:一个底漆

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The present paper shows, for the first time, the technique known as PGD-Vademecum as a global path planner for mobile robots. The main idea of this method is to obtain a Vademecum containing all the possible paths from any start and goal positions derived from a harmonic potential field in a predefined map. The PGD is a numerical technique with three main advantages. The first one is the ability to bring together all the possible Poisson equation solutions for all start and goal combinations in a map, guaranteeing that the resulting potential field does not have deadlocks. The second one is that the PGD-Vademecum is expressed as a sum of uncoupled multiplied terms: the geometric map and the start and goal configurations. Therefore, the harmonic potential field for any start and goal positions can be reconstructed extremely fast, in a nearly negligible computational time, allowing real-time path planning. The third one is that only a few uncoupled parameters are required to reconstruct the potential field with a low discretization error. Simulation results are shown to validate the abilities of this technique.
机译:本文首次显示称为PGD-Vademecum的技术作为移动机器人的全球路径规划器。该方法的主要思想是获得包含从预定义地图中的谐波潜在场的任何开始和目标位置的所有可能路径的vademecum。 PGD​​是一种具有三个主要优点的数值技术。第一个是在地图中为所有启动和目标组合带来所有可能的泊松方程解决方案的能力,保证所得潜在的领域没有死锁。第二个是PGD-VadeMecum表示为未耦合乘以术语的总和:几何图和开始和目标配置。因此,可以在几乎可忽略的计算时间内极快地重建任何启动和目标位置的谐波潜电场,允许实时路径规划。第三个是只有几个解耦参数来重建具有低离散化误差的潜在字段。仿真结果显示为验证该技术的能力。

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