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GRIPPING DEVICE, LEARNING DEVICE, LEARNED MODEL, GRIPPING 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

To discriminate a proper gripping position for flexible objects in a folded and stacked state.SOLUTION: A gripping device 1 includes: an image data acquisition section 16 which acquires image data capturing an object; a robot arm 11 which grips the object; a control section 12 which controls the operation of the robot arm 11; and a gripping position determination section 18 which determines whether portions of flexible objects appearing in the image data are portions suitable for gripping using the image data in which the flexible objects in a folded and stacked state are captured, which are acquired by the image data acquisition section 16. The control section 12 controls the robot arm 11 so that an end of a top face of the flexible object on the uppermost stage is deformed. The gripping position determination section 18 determines whether the end is a portion suitable for gripping using the image data in which the flexible object having the deformed end of the top face is captured.SELECTED DRAWING: Figure 3
机译:为了区分处于折叠和堆叠状态的柔性物体的正确握持位置。解决方案:握持装置1包括:图像数据获取部分16,其获取捕获对象的图像数据;以及图像数据获取部分16。抓取物体的机械手11;控制部12控制机器人臂11的动作。抓握位置确定部18,该抓握位置确定部18利用图像数据获取所获取的图像数据来确定出现在图像数据中的柔性物体的部分是否是适于抓握的部分,其中该图像数据捕获了处于折叠和堆叠状态的柔性物体。部16。控制部12控制机器人臂11,以使柔性物体的最上层的顶面的端部变形。抓握位置确定部分18使用图像数据来确定端部是否是适合抓握的部分,在该图像数据中,捕获了具有顶面变形的柔性物体。

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