Safety first: Developing a model of expertise in collaborative robotics
Safety first: Developing a model of expertise in collaborative robotics
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安全第一：开发协作机器人专业知识模型
DOI：
10.1007/978-3-030-67788-6_21
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Mutlu, Bilge
中科院分区：
文献类型：
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作者：
Siebert-Evenstone, Amanda;Michaelis, Joseph E.;Shaffer, David W.;Mutlu, Bilge
技术的快速进步也伴随着对这些技术进行设计和交互的人员的培训需求的增加。其中一项技术是协作机器人，其设计比传统机器人更安全、更易于使用。然而，关于人们如何使用协作机器人的研究很少，而确定用户在制造过程中正确设置和有效使用协作机器人必须了解的内容的研究则更少。在这项研究中，我们采访了九位制造环境中的机器人和自动化专家。我们采用定量人种学方法来定性了解机器人专家的文化实践，并用定量证据证实这些故事。定量和定性分析都表明，专家在设计和监控协作机器人应用时将安全放在第一位。这项研究提高了我们对协作机器人技术中专家解决问题的理解，定义了一个可以作为开发真实学习技术基础的专家模型，并说明了一种在职业环境中对专业知识进行建模的有用方法。
Rapid advances in technology also come with increased training needs for people who engineer and interact with these technologies. One such technology is collaborative robots,cobots, which are designed to be safer and easier to use than their traditional robotic counterparts. However, there have been few studies of how people use cobots and even fewer identifying what a user must know to properly set up and effectively use cobots for their manufacturing processes. In this study, we interviewed nine experts in robots and automation in manufacturing settings. We employ a quantitative ethnographic approach to gain qualitative insights into the cultural practices of robotics experts and corroborate these stories with quantitative warrants. Both quantitative and qualitative analyses revealed that experts put safety first when designing and monitoring cobot applications. This study improves our understanding of expert problem-solving in collaborative robotics, defines an expert model that can serve as a basis for the development of an authentic learning technology, and illustrates a useful method for modeling expertise in vocational settings.