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Detection of object arrangement patterns using images for robot picking

机译:使用图像检测物体排列模式以进行机器人拾取

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This paper focuses on robot picking of objects in warehouses and stores. Objects are often regularly stacked or aligned in specific arrangement patterns to increase storage efficiency. There are typical patterns in arrangement patterns. A specific picking strategy set is often linked to specific arrangement patterns. By linking the arrangement patterns of various object categories to picking strategy sets, the picking performance of a robot is expected to improve. In this paper, we propose a method in which groups of regularly arranged objects are detected from an image, and the arrangement pattern of each group is identified. In this paper, we describe the effectiveness of the proposed method based on experiment results for “book” as the target.
机译:本文着重介绍机器人在仓库和商店中拾取物品的方法。通常将对象规则地堆叠或以特定的排列方式对齐以提高存储效率。排列模式中有典型的模式。特定的采摘策略集通常与特定的排列模式相关联。通过将各种对象类别的布置模式链接到拣选策略集,可以提高机器人的拣选性能。在本文中,我们提出了一种方法,其中从图像中检测出规则排列的对象的组,并确定每组的排列方式。在本文中,我们以“书”为目标的实验结果描述了该方法的有效性。

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