Spatial Reasoning for Machine Understanding of Solid Models

Michael M. Marefat University of Arizona $78,552 - 12 most。这是一个为期三年的研究项目的第一年资助，其目标是研究和开发几何推理机制和知识表示方法，用于建模和识别语义形状特征，这将在工业设计和制造中有用。一个人或一台机器要想感知物体并与之互动，就必须做的不仅仅是看到物体；有必要认清它们的本来面目，赋予它们某种意义。实际上，将物体视为具有特定形状和特征的单个物品是感知的一部分，并涉及几何推理。将意义附加到对象上意味着必须有一个关于它们的重要内容的内部知识表示。从一组几何特征到一个知识表示意义的映射称为语义，类似于语言中的映射。随着产品生命周期的缩短和产品种类的增加，最小化产品设计和生产之间的滞后时间是至关重要的。该项目包括应用已开发的几何推理模型和机制来解决设计的机器理解、工艺规划策略的自动生成和基于实体模型的自动视觉检查等重要问题。在这些问题上已经取得了初步的有希望的结果。将系统地进行进一步调查，以发展概念和机制。此外，还将研究这些概念和机制在信息驱动的柔性设计和生产智能集成环境开发中的应用。

IRI-9414523 Michael M. Marefat University of Arizona $78,552 - 12 mos. Spatial Reasoning for Machine Understanding of Solid Models This is the first year funding of a three-year research project with the objectives of studying and developing geometric reasoning mechanisms and knowledge representation methods for modeling and recognition of semantic shape features that will be useful in industrial design and manufacturing. A person or a machine that is going to perceive objects in order to interact with them in any way must do more than see the objects; it is necessary to recognize them as what they are, to attach a meaning to them. Actually seeing the objects as individual items with particular shapes and features is part of perception, and involves geometric reasoning. Attaching meaning to the objects means that there must be an internalknowledge representation for what is significant about them. A mapping from a set of geometric features to a meaning in terms of the knowledge representation is called semantics, after the analogous mapping in language. As the product life cycles become shorter and product variety increases, it is crucial to minimize the lag period between the start of a product's design and the time it is produced. This project includes applying the developed geometric reasoning models and mechanisms to solve important issues in machine understanding of designs, automated generation of process planning strategies, and automated visual inspection based on solid models. Initial promising results have been obtained on these problems. Further investigation will be performed systematically to develop the concepts and the mechanisms. In addition, the application of the concepts and mechanisms to the development of information driven intelligent integrated environments for flexible design and production will be studied.