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Human in the loop online estimation of robotic speed limits for safe human robot collaboration

机译:人类在循环在线估算机器人速度限制的安全人员机器人协作

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Collaborative robots (CR) gained increasing attention since system costs including costs for safety measurements are smaller, they are easier to program and they are more flexible than conventional industrial robots. In order to make use of the increased flexibility human-robot collaboration (HRC) robots might be applied flexibly. Therefore, not only reprogramming but also risk assessment has to be performed repeatedly. New safety standards relevant for HRC (DIN ISO 10218-1&2, ISO TS 15066) increase the complexity of the procedure that does not only involve the hazard identification, but also time-consuming force and stress measurements. The results are highly dependent on the current safety-settings of the robot, its current joint states and the contact point position. In order to speed up this process and make it more transparent, the computer aided safety assessment (CASA) tool aims to support during risk assessment. To achieve this, a visualization and simulation framework is developed, that makes use of accurate dynamic models of the robot and the body regions to estimate possible contact forces. Moreover, the geometry of the collaborative workcell is considered to highlight application specific hazards. The human factor is taken into consideration by online digitization of the co-workers’ body parts positions (key points).
机译:协作机器人(CR)获得了越来越多的关注,因为包括安全测量成本的系统成本较小,它们更容易编程,它们比传统工业机器人更灵活。为了利用增加的灵活性人员机器人协作(HRC)机器人可能会灵活地应用。因此,不仅重新编程,而且还必须反复进行风险评估。新的安全标准与HRC相关(DIN ISO 10218-1&2,ISO TS 15066)增加了不仅涉及危险识别的程序的复杂性,还涉及耗时的力和压力测量。结果高度依赖于机器人的当前安全设置,其当前的关节状态和接触点位置。为了加快这个过程并使其更加透明,计算机辅助安全评估(CASA)工具旨在在风险评估期间支持。为实现这一点,开发了一种可视化和仿真框架,它利用机器人的精确动态模型和车身区域来估计可能的接触力。此外,考虑了协作工作单元的几何形状以突出显示特定的危险。通过同事的身体部位位置(关键点)在线数字化考虑人类因素。

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