Improving Manufacturing with Artificial Intelligence Techniques

奥克兰大学正在扩建现有的机器人和制造业学生设施，以创建一个制造业人工智能（AI）实验室。具体的硬件采购包括一个带有两个终端的计算机工作站，以支持人工智能的开发，以及两个基于pc的工作站，带有适当的数据采集和控制硬件，以支持人工智能的交付。软件收购包括用于知识表示和专家系统的人工智能工具（主要由Carnegie Group， Inc.贡献），用于广泛制造问题的面向对象建模软件，以及必要的支持软件。这些新增内容允许学生检查当前设备的智能使用和集成，包括CNC铣床，CNC车床，视觉系统，机器人操纵器和CAD/CAM系统。该实验室主要支持一门名为“用人工智能技术改进制造”的新课程，但这些改进也有利于包括人工智能和智能机器人在内的现有课程。学生将学习：1)使用专家系统外壳来构建诊断专家系统来维护实验室的设备；2)实现神经网络算法控制机器；3)使用各种学习算法提取控制制造设备或单元的特征；4)建立制造系统使用的超文本程序描述；5)使用面向对象的制成品模型，并将其他人工智能技术应用于制造问题。该实验室将是首批训练学生使用人工智能技术来改进现有制造技术并帮助产生新技术的实验室之一。

TechniquesOakland University is expanding existing student facilities for robotics and manufacturing to create a laboratory for Artificial Intelligence (AI) in Manufacturing. Specific hardware acquisitions include a computer workstation with two terminals to support AI development, and two PC-based stations with appropriate data acquisition and control hardware to support AI delivery. Software acquisitions include AI tools for knowledge representation and expert systems (largely contributed by The Carnegie Group, Inc.), object-oriented modeling software for a wide range of manufacturing problems, and necessary support software. These additions permit students to examine the intelligent use and integration of current equipment including a CNC mill, a CNC lathe, a vision system, a robotic manipulator and a CAD/CAM system.This laboratory primarily supports a new course entitled Improving Manufacturing with Artificial Intelligence Techniques but the improvements also benefit existing courses including Artificial Intelligence and Intelligent Robotics. Students will learn: 1) to use expert system shells to build diagnostic expert systems for maintaining the lab's devices; 2) to implement neural network algorithms to control machines; 3) to extract features that control a manufacturing device or cell using various learning algorithms; 4) to build hypertext procedure descriptions for the use of manufacturing systems; and 5) to use object-oriented models of manufactured goods, and to apply other AI techniques to the problems of manufacturing. The lab will be one of the first designed to train students in the use of AI techniques to improve existing manufacturing technologies and help generate new ones.