首页> 外文会议>Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on >Teaching-less robot system for finishing workpieces of various shapes using force control and computer vision
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Teaching-less robot system for finishing workpieces of various shapes using force control and computer vision

机译:免教学机器人系统,通过力控制和计算机视觉对各种形状的工件进行精加工

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In the case of conventional industrial robot systems, operators have to write robot-language programs for each type of workpiece. This is an onerous task, especially when each workpiece has a different shape. We propose a teaching-less robot system for the finishing of two-dimensional workpieces of various shapes and thicknesses using force control and computer vision. 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. In the system, the robot picks up a workpiece whose shape is not previously known on the workpiece stand by itself and carries out the finishing tasks using the automatically generated robot-language program. This method provides a compact and inexpensive finishing robot system which reduces the programming and workpiece-setting burden on the operators.
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。这是一项繁重的任务,尤其是当每个工件具有不同的形状时。我们提出了一种无需示教的机器人系统,可以使用力控制和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。在该系统中,机器人会自动拾取工件支架上先前未知的形状的工件,并使用自动生成的机器人语言程序执行精加工任务。这种方法提供了一种紧凑且廉价的精加工机器人系统,该系统减少了操作员的编程和工件设置负担。

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