Abstract With human-robot collaborations, companies are struggling to decide how to schedule tasks in an effective way. We propose an approach to find an eligible division of tasks that forgoes expert knowledge and simulations. Based on a recreation of the application using predefined basic processes and knowledge of the process constraints, the human and robot capabilities are examined. In addition, a time assumption inspired by the Methods-Time Measurement is carried out, to determine the subprocess times. Subsequently, a genetic algorithm assigns the tasks to the human and robot. Expert evaluation and real implementation prove the effectiveness of the proposed approach.

中文翻译：

---

基于机器人能力和执行时间假设的HRC工作场所任务调度方法

摘要 通过人机协作，公司正在努力决定如何以有效的方式安排任务。我们提出了一种方法来寻找合格的任务分工，而无需专业知识和模拟。基于使用预定义的基本流程和流程约束知识重新创建应用程序，检查人和机器人的能力。此外，还进行了受方法时间测量启发的时间假设，以确定子流程时间。随后，遗传算法将任务分配给人类和机器人。专家评估和实际实施证明了所提出方法的有效性。