几何模型未知物体轮廓跟踪中基于图像的视觉伺服结构的实现

Wei-Che Chang, M. Cheng, Hong-Jin Tsai
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引用次数: 2

摘要

机械切割在许多工业应用中是非常重要的。由于机械切削常常涉及到轮廓跟踪,一般来说,事先的轨迹规划是不可避免的。然而,在某些应用中,切割对象的几何模型是不可用的。解决这一困难的一种可能方法是采用视觉伺服方法。因此,本文采用安装在天花板上的眼对手摄像头来获取物体的形状信息。此外,还设计了PH样条来表示所获得的物体形状。基于得到的PH样条,开发了一种插值器,用于生成图像视觉伺服(IBVS)结构所需的特征命令。另一个眼对手摄像头放置在一个可以看到被切割物体的位置,为IBVS结构提供视觉反馈。最后,对多个具有任意形状的物体进行了轮廓跟踪实验,验证了该方法的有效性。
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Implementation of an Image-Based Visual Servoing structure in contour following of objects with unknown geometric models
Mechanical cutting is very important in many industrial applications. Since mechanical cutting often involves contour following, generally, prior trajectory planning is inevitable. However, in some applications the geometric model of the object for cutting is not available. One possible approach to circumventing this difficulty is to employ a visual servoing approach. As a result, in this paper, an eye-to-hand camera mounted on the ceiling is used to obtain the shape information of the object. Moreover, PH splines are designed to represent the obtained object shape. Based on the obtained PH splines, an interpolator is developed to generate the desired feature command for the Image-Based Visual Servoing (IBVS) structure. Another eye-to-hand camera is placed in a position that can have a full view of the object for cutting so as to provide vision feedback for the IBVS structure. Finally, contouring following experiments of several objects with arbitrary shapes have been conducted to validate the effectiveness of the proposed approach.
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