使用过程知识的基于手势的机器人编程。焊接应用的一个例子

O. Heimann, Johannes Hügle, J. Krüger
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引用次数: 4

摘要

本文是一种基于直观手势的机器人编程新系统的研究进展报告。主要的贡献是在机器人编程过程中增加了一个专家系统。专家系统使用静态知识(如接缝类型)和动态知识对预期过程进行推理。动态知识包含有关环境的信息,并源自传感器数据。本文概述了所需的组件和原型系统的开发现状。以机器人激光焊接为例,给出了推理过程的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gesture based robot programming using process knowledge — An example for welding applications
This paper is a work in progress report on a novel system for intuitive gesture based robot programming. The major contribution is the addition of an expert system into the robot programming process. The expert system uses static knowledge, such as seam types, and dynamic knowledge to reason about the intended process. The dynamic knowledge holds information about the environment and is derived from sensor data. The paper outlines the required components and the current state of development of a prototype system. An example of the inference process is given for a robot laser welding application.
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