Visual Positioning and Grasping Application of Industrial Robot for Casting Parts

G. Wan, Fudong Li, Guofeng Wang
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引用次数: 3

Abstract

In order to guide an industrial robot to pick a rough casting object, a visual servoing system have been designed to perform the task. This solution present an efficient method to perform robot and vision system’s hand eye calibration. Shape matching method is used to find a rough casting object, by combining Line2d algorithm and ROI selection. This vision system can find rough objects with high computational speed and it is robust to environmental noise. The experiment shows that the system repeatability is within 2mm and verify the feasibility of the method and robustness of the algorithm.
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工业机器人在铸件视觉定位与抓取中的应用
为了指导工业机器人拣取毛坯,设计了视觉伺服系统。该方案为机器人和视觉系统的手眼标定提供了一种有效的方法。将Line2d算法与ROI选择相结合,采用形状匹配方法寻找毛坯铸件。该视觉系统能快速识别粗糙物体,且对环境噪声具有较强的鲁棒性。实验表明,系统的重复性在2mm以内,验证了方法的可行性和算法的鲁棒性。
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