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首页> 外文期刊>Journal of Advanced Manufacturing Systems >Teach Less Robotic System for Deburring Workpieces of Various Shapes
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Teach Less Robotic System for Deburring Workpieces of Various Shapes

机译:少教导各种形状工件去毛刺的机器人系统

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摘要

In the case of conventional industrial robot systems, operators have to write robotlanguage programs for each type of workpiece. This is an onerous task, especially when each workpiece has a different shape. In this paper, a teaching-less robot system for the finishing of two-dimensional workpieces of various shapes and thicknesses using computer vision is proposed. The robot system does not require shape information for the workpiece to be included in the CAD data or to be input by the operator. Each workpiece shape is acquired by segmenting edges into straight lines and circular arcs from the image data of the workpiece. The robot-language program for each workpiece is generated automatically from the workpiece shape data and finishing condition data. The effectiveness of the proposed method is verified by experiments using a newly developed robot system. This method provides a compact and inexpensive finishing robot system which reduces the programming timing.
机译:对于传统的工业机器人系统,操作员必须为每种类型的工件编写机器人语言程序。这是繁重的任务,尤其是当每个工件具有不同的形状时。在本文中,提出了一种无教学机器人系统,可以利用计算机视觉对各种形状和厚度的二维工件进行精加工。机器人系统不需要将工件的形状信息包含在CAD数据中或由操作员输入。通过从工件的图像数据中将边缘分成直线和圆弧来获取每种工件形状。根据工件形状数据和精加工条件数据自动生成每个工件的机器人语言程序。通过使用新开发的机器人系统进行的实验验证了该方法的有效性。这种方法提供了一种紧凑而廉价的精加工机器人系统,从而减少了编程时间。

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