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GRASPING APPARATUS, LEARNING APPARATUS, LEARNED MODEL, GRASPING SYSTEM, DETERMINATION METHOD, AND LEARNING METHOD

机译:抓取装置,学习装置,学习模型,抓取系统,确定方法和学习方法

摘要

A grasping apparatus 1 includes: an image data acquisition unit 16; a robot arm 11; a control unit 12; and a grasping position determination unit 18 configured to determine, using the image data of photographed flexible objects in a folded and stacked state that is acquired by the image data acquisition unit 16, whether or not a part of the flexible objects in that image data is suitable for being grasped. The control unit 12 controls the robot arm 11 so as to deform ends of a top surface of the flexible object at the top of the stacked flexible objects. The grasping position determination unit 18 determines whether or not a part is suitable for being grasped using the image data of the photographed flexible object the ends of the top surface of which have been deformed.
机译:抓取设备1包括:图像数据获取单元16;以及图像数据获取单元16。机械臂11;控制单元12;抓握位置确定单元18,被构造为使用由图像数据获取单元16获取的处于折叠和堆叠状态的拍摄的柔性物体的图像数据来确定该柔性物体的一部分是否是该图像数据。适合被抓住。控制单元12控制机器人臂11,以使柔性物体的顶表面的端部在堆叠的柔性物体的顶部处变形。抓握位置确定单元18使用其顶表面的端部已经变形的被拍摄柔性物体的图像数据来确定是否适合抓握部件。

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