Cooperational Control of Autonomous Intelligent Machining Cell with Machine Learning Function.

制造系统中存在着大量的智能单元，如何使它们处于协同工作的状态是一个重要的问题。此外，开发自动化的协同制造系统，需要明确实际过程中知识获取的协调协调控制方式和概念构建方法。通过对技术工人知识的分析，采用直觉决策表和启发式方法进行决策。人类的学习方法主要依赖于行为与结果之间的关系，即与分析数据和评价项目相对应，因此，本项目研究了一种智能决策方法，考虑了自主协调制造系统的概念构建方法和自学习过程。针对以下两个主题进行了为期两年的基础研究。(1)概念结构的形成过程是为了结构的相似性。(2)智能机器人视觉系统的研究-

There are many intelligent elements in a manufacturing system, and it is important to control them in a cooperational condition. Moreover, to develop an automated intellingent manufacturing system, it is necessary to make clear a harmonized cooperating control way and conceptual construction method for knowledge acquisition in actual process. Analysing the knowledge of skilled workers, determinations are conducted with the intutive decision tables and heuristic approaches. The learning method of human is mainly dependent on the relationship between an action and its result, that is correspondent to the analyzed data and evaluation items.Therefore, an intelligent decision making method was developed in this project, considering the conceptual construction method with self-learning process for autonomous harmonized manufacturing system. Fundamental research was carried out regarding the following two subjects for two years.(1) Conceptual Construction Making Process for configuration similarity.(2) Intelligent Robot-Vision System for Machining Cell-Engraving a Wood Block by Robot-.Through a numerous practical exercises, the validity of proposed system has been proved with valuable results.