Functional feature recognition for manipulation robot programming

T. de Martino, B. Falcidieno, F. Giannini
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引用次数: 1

Abstract

A method is proposed to map a low-level CAD description of an object into a context dependent feature-based representation. This mapping is performed in two steps. The first is applied to a face-based boundary representation and produces a new model called shape feature object graph (SFOG). This model is feature oriented but independent from the application context. The second step interprets the intermediate SFOG description according to a feature library specified by the user and creates the context dependent feature-based model.<>
面向操作机器人编程的功能特征识别
提出了一种将对象的低级CAD描述映射到上下文相关的基于特征的表示的方法。此映射分两个步骤执行。首先将其应用于基于人脸的边界表示,并产生一个称为形状特征对象图(SFOG)的新模型。该模型是面向功能的,但独立于应用程序上下文。第二步根据用户指定的特征库解释中间的SFOG描述,并创建与上下文相关的基于特征的模型。
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