cad数据在工业机器人脱机编程中的应用

IF 2.9 Q2 ROBOTICS

Robotics Pub Date : 1987-09-01 DOI:10.1016/0167-8493(87)90055-6

G. Duelen, R. Bernhardt, G. Schreck

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引用次数: 6

摘要

红外应用程序的重要组成部分是部分可从cad系统获得的几何数据。本文讨论了cad数据的推导和转换为ir应用程序所需的表示形式。对于机器人任务的几何部分的描述，采用了齐次坐标的框架概念。针对点焊生产任务，详细介绍了利用cad系统的几何数据确定框架的方法。此外，指出了cad数据用于仿真目的的使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Use of CAD-data for the off-line programming of industrial robots

Important components of IR-application programs are geometric data which are partly available from CAD-systems. In this paper the derivation and transformation of CAD-data into the required representation of IR-application programs is discussed. For the description of the geometric part of the robots task a frame concept with homogeneous coordinates is used. For the production task spot welding the determination of frames out of the geometric data from the CAD-system is shown in detail. Furthermore, the use of CAD-data for simulation purposes is pointed out.

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来源期刊

Robotics Mathematics-Control and Optimization

CiteScore

6.70

自引率

8.10%

发文量

114

审稿时长

11 weeks

期刊介绍： Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM