Department of Engineering, University of Luxembourg, 6, Rue-Kalergi, L-1359 Luxembourg, Luxembourg.
Sensors (Basel). 2022 Jun 30;22(13):4950. doi: 10.3390/s22134950.
There has been a rapid increase in the use of collaborative robots in manufacturing industries within the context of Industry 4.0 and smart factories. The existing human-robot interactions, simulations, and robot programming methods do not fit into these fast-paced technological advances as they are time-consuming, require engineering expertise, waste a lot of time in programming and the interaction is not trivial for non-expert operators. To tackle these challenges, we propose a digital twin (DT) approach for human-robot interactions (HRIs) in hybrid teams in this paper. We achieved this using Industry 4.0 enabling technologies, such as mixed reality, the Internet of Things, collaborative robots, and artificial intelligence. We present a use case scenario of the proposed method using Microsoft Hololens 2 and KUKA IIWA collaborative robot. The obtained results indicated that it is possible to achieve efficient human-robot interactions using these advanced technologies, even with operators who have not been trained in programming. The proposed method has further benefits, such as real-time simulation in natural environments and flexible system integration to incorporate new devices (e.g., robots or software capabilities).
在工业 4.0 和智能工厂的背景下，协作机器人在制造业中的使用迅速增加。现有的人机交互、模拟和机器人编程方法并不适应这些快速发展的技术进步，因为它们耗时、需要工程专业知识，并且在编程和交互方面浪费了大量时间，非专业操作人员很难操作。为了解决这些挑战，我们在本文中提出了一种用于混合团队中人机交互（HRI）的数字孪生（DT）方法。我们使用了工业 4.0 支持的技术，如混合现实、物联网、协作机器人和人工智能来实现这一目标。我们使用 Microsoft Hololens 2 和 KUKA IIWA 协作机器人展示了该方法的一个用例场景。结果表明，即使是没有编程培训的操作人员，也可以使用这些先进技术实现高效的人机交互。该方法还有其他好处，例如在自然环境中进行实时模拟，以及灵活的系统集成，以纳入新设备（例如机器人或软件功能）。
