人-机器人协作任务中人体生理心理负荷资源评估理论框架构建研究

Theoretical Framework of Human Physical and Mental Workload Assessment in Human-Robot Collaboration

随着科技的发展,多种机械装置正在实现机器人化,如何评定人机交互过程中的作业负荷成为众多学者研究的焦点。本研究旨在探究人-机器人在共同完成生产任务时人体生理心理负荷的资源变化,构建了一个理论框架用以评估人机交互过程中的作业负荷,设计了包装和计算任务,模拟不同生理心理负荷水平的作业,以验证各个指标在不同负荷任务之间是否存在显著性差异。结果表明,根据该模型选取的评估指标可以有效区分和预测不同作业任务下的生理心理负荷,验证了该模型的有效性。本文的研究方法和结论可为人-机器人交互过程中的生理心理负荷资源评估提供借鉴,为生产系统中的作业任务分配、作业者作业健康与安全提供理论支撑。

With the development of science and technology,a variety of mechanical devices are being robotized.Hence,how to evaluate the workload in the process of human-robot collaboration has become the focus.The purpose of this study was to explore the changes of human physical and mental workload when humans and robots jointly completed production tasks.A theoretical framework was constructed to evaluate the workload in the human-robot collaboration.Packaging and computing tasks were designed to simulate the job with different physical and mental workload levels,to verify whether there were significant differences between each index in different load tasks.The results show that the evaluation indexes selected can effectively distinguish and predict the physical and mental workload under different tasks,which verifies the effectiveness of the model.The methods and conclusions can provide a reference for the assessment of physical and mental workload resources in the human-robot collaboration,and provide theoretical support for the assignment of work tasks in the production system.