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Teaching Cobots in Learning Factories – User and Usability-Driven Implications

机译:教学工厂中的Cobotes - 用户和可用性驱动的影响

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Up to now, industrial robots were considered as machines working for humans. In this sense, programming required special coding knowledge and skills as teaching approaches were based on imperative programming methods, formulating the solving of a problem line by line. As novel work principles consider the robot rather a tool, assisting or collaborating with the human, declarative approaches are needed, that allow for intuitiveness and modifiability. Collaborative robot (cobot) control requires intuitive interfaces, not only for ease of use but also for modifying existing execution programs. Furthermore, the increasingly diverse personnel also requires a more democratic approach to robot programming. However, there is no standard or guideline for intuitive cobot control, and it can be noticed that the usability of the diverse interfaces and systems provided on the market is rather poor. This paper compares three systems with their advantages and disadvantages concerning usability and presents the results of the standard usability score (SUS) test, which was conducted in the Vienna learning factory “TU Wien Pilot Factory for Industry 4.0”. Additionally, the paper presents an approach on how to teach different levels of cobot interaction and control addressing the skill sets needed in their individual working environments.
机译:到目前为止,工业机器人被认为是为人类工作的机器。从这个意义上讲,规划所需的特殊编码知识和技能作为教学方法是基于必要的编程方法,通过线条制定问题行的解决。作为新的工作原则,需要一个工具,辅助或与人类声明方法进行协作,允许直观和可修改。协作机器人(COBOT)控制需要直观的接口,不仅可以易于使用,而且还用于修改现有的执行程序。此外,越来越多样化的人员还需要更具民主的机器人编程方法。但是,直观的COBOT控制没有标准或指导方针,可以注意到,市场上提供的各种接口和系统的可用性相当差。本文将三种系统与其有关可用性的优点和缺点进行了比较,并提出了标准可用性评分(SUS)测试的结果,该试验是在维也纳学习厂“Tu Wien试点工厂为行业4.0”中进行的结果。此外,本文介绍了如何教授如何教授不同水平的Cobot交互和控制解决其各个工作环境所需的技能组。

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