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INFLUENCE OF TASK ALLOCATION PATTERNS ON SAFETY AND PRODUCTIVITY IN HUMAN-ROBOT-COLLABORATION

机译:任务分配方式对人机协作安全性和生产率的影响

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Collaborative applications, where humans and robots work in a pre-defined workspace at the same time, are characterized by flexible task allocation patterns. Here, task allocation is dependent on the required degree of automation as well as on the demands by the individual processes and provided abilities by the collaborative resources. The dynamics of this allocation process influences boundary conditions for the risk assessment, which is mandatory for the industrial implementation. This paper addresses the need to understand the correlation between task allocation and exposures on the human operator. By analysing different task allocation patterns on an industrial application, the effects on operator exposure and productivity are determined.
机译:人与机器人同时在预定义工作区中工作的协作应用程序具有灵活的任务分配模式。在这里,任务分配取决于所需的自动化程度以及各个流程的需求以及协作资源的能力。这种分配过程的动态性会影响风险评估的边界条件,这对于工业实施是必不可少的。本文提出了需要了解任务分配与操作员的风险之间的相关性的需求。通过分析工业应用上的不同任务分配模式,可以确定对操作员的工作量和生产率的影响。

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