System Learning Mechanical Assembly and Design Using Case-Based Inference and Hypothetic Inference

这项研究的目的是找到一种方法，让我们有一个机器学习来组装或设计机械零件。在本研究中，从机械装配文本中获取知识进行了实验。在每个文本中，都使用解释和插图来显示汇编方法。有些装配过于简单，不需要解释，但它们对于理解机械部件的特征和装配顺序是必要的。为此，实验了4个案例，分别是(1)在给定零件模型的情况下进行解释，(2)从插图中综合零件模型，(3)用解释性短语从插图中规划装配过程，(4)通过相互参照来理解解释和插图。使用这些方法中的任何一种，都获得了一些不完整的装配计划。从城堡中，系统成功地获得了一个像“开始”这样的词的意思，这个词经常在句子中使用，“把固定螺丝启动到安装孔中”。没有这个含义的系统将紧固螺钉或无法推断插入的长度。在此基础上，建立了圆柱零件的三维空间，并驱动了物体的属性模型。它们有助于识别与所获得的模型之一相对应的真实物体。从案例3,4中，通过寻找零件和图形元素之间的对应关系，获得了唯一的装配顺序。

The purpose of this research is to find a way in which we have a machine learn to assemble or design mechanical parts. In this research, acquiring knowledge from a mechanical assembly text has been experimented. In every text, assembly methods are shown using both explanation and illustration. Some assembly is too simple to require no explanation, but they are necessary for understanding both features of mechanical parts and the order of an assembly. For this reason, 4 cases have been experimented, which are (1) interpreting explanation under the supposition that models of parts are given, (2) synthesizing models of parts from an illustration, (3) planning assembly procedure from an illustration with explanatory phrases, (4) understanding explanations and illustrations by referring to one another. With any one of these approaches, several incomplete plans of assembly have been acquired. From the castel, the system successfully acquire a word sense like "start", which is often used in a sentence, "Start a setscrew into the mounting holes". The system without this meaning would fasten the screw or could not infer a length of insertion. From the case2,3 dimensional of cylindrical parts are created, and attributive models of objects are driven. They contribute to identify the real object corresponding to one of the models obtained. From the case3,4, by finding correspondence between parts and figure elements, the unique order of assembly is acquired.