Levels of human and robot collaboration for automotive manufacturing

Jane Shi, G. Jimmerson, Tom Pearson, R. Menassa
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引用次数: 85

Abstract

United States Consortium for Automotive Research (USCAR) conducted a concept feasibility study in 2010--2011 to investigate critical requirements to implement fenceless (the long term goal) or minimally fenced (the short term goal) robotics work cells for automotive applications. One output of the study defines the levels of human and robot collaboration and addresses the levels of complexity that drive the probabilities of successful implementation. The development of these definitions was accomplished through interviews with technology providers, observation of current robot system installations, and discussions with automotive manufacturing engineers and robotic technical experts. In this paper, we attempt to categorize robotic systems for low, medium and high levels of human and robot collaboration with current state application examples in automotive body shop, automotive powertrain manufacturing and assembly, as well as in automotive general assembly. We propose potential human and robot collaboration applications in future state where sensors, when closely integrated with robotic systems with greater dynamic response and related new technology advancements, could enable a closer and more dynamic human and robot collaboration. Finally we highlight the assessment of the successful implementation probabilities for the low, medium, and high levels of human and robot collaborative applications.
汽车制造中人机协作的水平
美国汽车研究协会(USCAR)在2010- 2011年进行了一项概念可行性研究,以调查实现无围栏(长期目标)或最低围栏(短期目标)汽车应用机器人工作单元的关键要求。该研究的一个输出定义了人类和机器人协作的级别,并解决了驱动成功实施概率的复杂性级别。这些定义的发展是通过与技术供应商的访谈、对当前机器人系统安装的观察、以及与汽车制造工程师和机器人技术专家的讨论完成的。在本文中,我们试图将机器人系统分类为低、中、高水平的人与机器人协作,并结合当前在汽车车身车间、汽车动力总成制造和装配以及汽车总装中的应用实例。我们提出了未来潜在的人类和机器人协作应用,当传感器与具有更大动态响应和相关新技术进步的机器人系统紧密集成时,可以实现更紧密和更动态的人类和机器人协作。最后,我们强调了人类和机器人协作应用的低、中、高水平成功实现概率的评估。
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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