利用形状特征驱动机器人装配轨迹生成机器人过程模型

L. Horváth, I. Rudas, J. Tar
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引用次数: 4

摘要

研究者和实践者试图通过使用经过验证的产品模型来解决机器人控制问题。现有的产品建模方法由于没有合适的集成机器人过程模型,只能实现准集成。提出了一种能够对产品、机器人和机器人过程进行综合描述的机器人系统建模方法。在该模型中,特征和关联定义等先进概念以及面向任务的机器人过程得到了广泛的应用。提出了在机械产品机器人装配中零件、装配和机器人过程模型集成应用的新建模方法。该集成的主要目的是产品模型驱动的机器人装配轨迹定义。主要贡献是试图定义形状和零件的位置为机器人装配使用的形状特征,而不是几何元素。表单特征模型对象承载了工程师对建模环境技术内容的意图。本文介绍了机器人装配的实际问题,概述了作者对机器人装配的产品模型驱动建模的概念。说明了基于特征的产品模型和机器人过程模型特征中的装配信息。在此基础上,讨论了机器人系统建模的扩展特征概念。最后,总结了机器人装配系统的集成模型和形态特征在其中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot assembly trajectory generation using form feature driven robot process model
Researchers and practitioners have attempted to solve problem of robot control by using of well-proved product models. Existing product modeling methods offer quasi integration because appropriate integrated robot process model is not available. The authors propose a modeling of the robot system that has the capability of integrated description of product, robot and robot process. Advanced concepts as feature and associativity definitions together with task oriented robot process gained an extended application in the proposed model. This paper presents the new modeling for integrated application of part, assembly and robot process models at robot assembly of mechanical products. The main purpose of this integration is product model driven definition of robot assembly trajectories. The main contribution is an attempt to define shapes and part positions for robot assembly by using of form features instead of geometric elements. Form feature model objects carry intent of engineers for technical content of modeled environment. The paper introduces actual issues of robot assembly and outlines the concept of the authors for product model driven modeling of robot assembly. Information for assembly in feature based product model and robot process model features are explained. Following this, an extended feature concept for modeling of robot system is discussed. Finally, integrated model of robot assembly system and role of form features in it are concluded.
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