Improving human-robot cooperation and safety in shared automated workplaces in the automotive industry

该提案旨在开发技术，以改善人类和机器人互动的汽车制造工厂的工作场所安全。该主题福尔斯属于加拿大-意大利汽车制造研发共同呼吁的优先领域“人类安全的FACTOry技术”（FACTOTHUMS）。根据这一优先领域的要求，我们将开发新的解决方案，利用新兴技术和行为模型，在要求人机交互的场景中定义更安全的工作场所。新型传感系统将在工人和机器人接触之前监测它们的相对位置，并将开发可穿戴传感器来监测工人的姿势和施加在他们四肢上的力。 传感系统收集的数据将在本地处理，然后通过无线网络传输到控制系统。控制系统将处理来自所有来源的数据，以检测危险情况，以避免或减轻对工人的潜在伤害，并将适应工人在不同环境之间移动。这些技术的结合将使自动化系统和工人之间的互动能够得到监控和控制，目标是同时提高人类安全和最大限度地提高生产力。本研究将通过三个加拿大小组和意大利的Consiglio Nazionale delle Ricerche（CNR）之间的合作进行。拟议的研究为学生和研究人员的培训提供了良好的环境，其中三名博士后研究员，五名博士生和一名实验室工程师将与工业合作伙伴的技术团队合作进行培训。

This proposal aims to develop technologies for improving workplace safety in automotive manufacturing plants where humans and robots interact. The subject matter falls under the priority area "FACTOry Technologies for HUMans Safety" (FACTOTHUMS) of the Canada-Italy Concurrent Call on Automotive Manufacturing R&D. As required for this**priority area, we will develop new solutions exploiting emerging technologies and behavioral models for the definitions of a safer workplace in scenarios where human-robot interactions are requested.****Novel sensing systems will monitor the relative locations of workers and robots before they come into contact and wearable sensors will be developed that monitor the workers' posture and the forces applied to their extremities. The data collected by the sensing systems will be locally processed and then transmitted to a control system through a wireless network. The control system will process the data from all sources to detect hazardous situations in order to avoid or mitigate the potential harm to the worker, and will accommodate workers moving between different environments.****The combined technologies will enable the interactions between automated systems and workers to be monitored and controlled with the goal of simultaneously improving human safety and maximizing productivity.****The presented research will be conducted through collaboration between three Canadian teams and the Consiglio Nazionale delle Ricerche (CNR) in Italy. The proposed research provides an excellent environment for the training of students and researchers where three post-doctoral fellows, five PhD students, and a lab engineer will be trained in collaboration with technical team of the industrial partner.