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

制造系统中存在许多智能元件，如何在协同状态下对其进行控制具有重要意义。此外，为了开发自动化智能制造系统，需要明确实际过程中知识获取的协调合作控制方式和概念构建方法。分析技术工人的知识，采用直观的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，即与所分析的数据和评价项目相对应。因此，本课题考虑了具有自学习过程的自主协调制造系统概念构建方法，开发了一种智能决策方法。对以下两个课题进行了为期两年的基础研究。(1)配置相似性的概念构造制作过程。(2)机器人雕刻木块加工单元的智能机器人视觉系统。通过大量的实际操作，证明了该系统的有效性，并取得了有价值的结果。

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.