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A Robotic Deburring System of Foundry Castings based on Flexible Workobject Localization

机译:基于柔性工作对象定位的铸造铸件自动去毛刺系统

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摘要

This paper presents methods to improve flexibility and accuracy of deburring of castings. We apply several methods including off-line programming of thedeburring paths, accurate localization of the workobject, surface measuring of the workobject and a force guided motion control during the deburring task. The eye-in-hand calibration as well as the localization of the workobject we carry out using the Bayesian -form estimation method with recursive sensor fusion. As a result from the workobject localization we obtain a 3 DOF location increment (position difference between the simulation model and actual workcell) and actual deburring paths are corrected using that increment. The simulation phase includes octree-based collision check and the faceting uses octree principle too. The paper includes results from actual tests which are promising. The methods are designed to be easy-to-implement in any industrial robot.
机译:本文提出了提高铸件去毛刺的灵活性和准确性的方法。我们应用了几种方法,包括脱毛路径的离线编程,工作对象的精确定位,工作对象的表面测量以及去毛刺过程中的力引导运动控制。我们使用带递归传感器融合的贝叶斯形式估计方法进行了现场校准以及工作对象的定位。通过对工作对象进行定位,我们获得了3个自由度的位置增量(模拟模型与实际工作单元之间的位置差),并使用该增量对实际的去毛刺路径进行了校正。仿真阶段包括基于八叉树的碰撞检查,并且构面也使用八叉树原理。本文包括了有希望的实际测试结果。该方法设计为易于在任何工业机器人中实施。

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