自动校准生产线中增强的碰撞感知最小-最大A*路径规划算法(ECMMA*)

Siying Li, Ling Zhu, Dongyan Wang, Yutian Cen, Guangyu Liu, Weiguo Fan
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引用次数: 0

摘要

在实际生产中,在自动校准线上经常会发生元器件与周围物体的碰撞。为了解决这些问题,本文提出了一种基于部件位置时空特征的增强碰撞感知最小-最大A*路径规划算法(ECMMA*)。ECMMA*实时确定组件的运行路径与周围物体的坐标之间是否存在干扰。它还考虑了优化自动校准生产线路径规划的总体成本。实验结果表明,该方法有效缩短了设备移动的距离和时间,提高了生产效率和资源利用率,保证了路径的有效性和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Enhanced Collision-Aware Min-Max A* Path Planning Algorithm (ECMMA*) in Automated Calibration Production Lines
In actual production, the collisions between components and surrounding objects often occur on automatic calibration lines. To solve these problems, an enhanced collision-aware min-max A* path planning algorithm (ECMMA*) based on the spatial and temporal features of component locations is proposed in this paper. ECMMA* determines in real time whether there is interference between the running path of the components and the coordinates of the surrounding objects. It also takes into account overall costs to optimize the path planning for automated calibration production lines. The experimental results show that the proposed method effectively reduces the distance and time of equipment movement, improves production efficiency and resource utilization, and ensures the effectiveness and safety of the paths.
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