The aim of this use case is to enable an interface between the Robot Operating System – Industry (ROS-I) and an industrial production cell through the 5G-ERA middleware, leveraging Industry 4.0 techniques, to support the deployment of highly flexible and robust manufacturing for SME and large-scale fabricators which will be demonstrated using a brazing cell. This use case will employ algorithms for human-robot learning control for collaborative output tasks, and it will need to satisfy the following two cases:
• The desired output is directly available to the robot
• The robot infers the desired output from the human-achieved output