虚拟环境中基于计算机的机器人训练

A. Sett, K. Vollmann
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引用次数: 12

摘要

随着越来越多的细分市场欢迎自动化,机器人领域不断扩大。随着工业机器人应用范围的扩大,对柔性机器人训练的需求也在增长。在仿真和离线编程领域,计算机辅助机器人(CAR)系统有了创新的发展。新的和值得注意的版本已经向公众推出,特别是在小型的、负担得起的和易于使用的系统中。这些汽车系统主要针对一般工业业务领域的系统集成商,对他们来说,汽车工业(及其供应商)使用的复杂而强大的软件工具是超大的。一般来说,car系统用于设计机器人单元并创建必要的离线程序,以减少启动时间并实现相当程度的规划可靠性。另一个尚未充分考虑的潜力是,将这种汽车系统作为一种廉价且用户友好的机器人训练工具。本文将展示模拟的教育潜力和可能性,并介绍这种新训练方法的成功案例。最后,本次演讲应被视为一种尝试,概述了以虚拟工厂的出现和实施为特征的工业环境中未来教育的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer based robot training in a virtual environment
As more market segments are welcoming automation, the robotic field continues to expand. With the accepted breadth of viable industrial robotic applications increasing, the need for flexible robotic training also grows. In the area of simulation and offline programming there have been innovative developments to Computer Aided Robotics (CAR) Systems. New and notable releases have been introduced to the public, especially among the small, affordable, and easy to use systems. These CAR-Systems are mainly aimed at system integrators in general industry business fields to whom the complex, powerful software tools used by the automotive industry (and its suppliers) are oversized. In general, CAR-Systems are used to design robot cells and to create the offline programs necessary to reduce start-up time and to achieve a considerable degree of planning reliability. Another potential yet to be fully considered, is the use of such CAR-Systems as an inexpensive and user-friendly tool for robotics training. This paper will show the educational potential and possibility inherent in simulation and introduce a successful example of this new method of training. Finally, this presentation should be seen as an attempt to outline novel methods for future education in an industrial environment characterized by the increased occurrence and implementation of the virtual factory.
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