Relevant reference NetApps will be developed as part of 5G-ERA and prototyped for each of the use cases to verify the innovations of the project’s experimental facilities and demonstrate advances on 5G Enhanced Robot Autonomy across vertical sectors. The 5G-ERA selects four vertical sectors including PPDR, transport, healthcare and industry 4.0 as the use cases. All use cases are expected to contribute to the following KPIs:
- Performance KPI “reducing the average service creation time cycle from many hours to just minutes” and
- Optimisation KPI “QoE- aware optimisation”
Use Case 1: Public Protection and Disaster Relief (PPDR)
A new NetApp will be designed for 5G enhanced autonomous PPDR service in unstructured environment. This use case aims to demonstrate solutions that could serve as technology gateways between the advanced standard communication solutions and the legacy ones. It also aims to demonstrate close-to-seamless switch/handover between Edges and Mobile Operators.
Use Case 2: 5G enhanced semi-autonomous transport
The aim of this use case is to demonstrate how NetApps verify improvement of the experimental facility and also by lightweight onboard unit virtualization techniques for building a moving, app-based fog environment as well as reduced service creation time in the transport domain. Robots will be able to work in teleoperated and semi-autonomous mode with reliance on 5G technology. A new NetApp will be designed for 5G enhanced semi-autonomous transport.
Use Case 3: 5G enhanced healthcare robots
The aim of this use case is to support different data flows which can have different priorities and Quality of Service (QoS) to map several data streams, such as sensors data, alerts and video streaming as well as demonstrate the security of the NetApps endpoints and their data streams to preserve sensitive and confidential data. As a Covid-19 response, robots can carry supporting materials on behalf of healthcare workers and depending on the level of autonomy. A new NetApp will be designed for 5G enhanced healthcare.
Use Case 4: 5G-remote assistance for manufacturing process
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