In this use case, we will simulate a public disaster scenario to demonstrate how a 5G-enhanced robot can help in such situations. The chosen platform will be The Robotnik Summit XL.
This robot is highly appropriate for this scenario because it is a versatile mobile robot designed to operate both indoors and outdoors. It is equipped with high mobility rubber wheels that allow it to navigate through different terrains with ease. The robot can carry up to 50 kg of payload and has a maximum speed of 3 m/s. It has an autonomy of up to 5 hours and uses a LiFePO4 battery. The robot is equipped with a 3D-lidar, pan-tilt camera, and RTK-GPS, enabling it to perform various tasks such as inspection, maintenance, and surveillance. The robot uses the ROS 2 open architecture, which makes it easy to integrate with other components. For handling communications, it is equipped with a cutting-edge 5G-router that allows the robot to communicate with nearby edge devices, other robots, and extremely powerful cloud servers. This configuration enables the robot to perform fully autonomous or semi-autonomous operations, providing a remote operator or high-level algorithms with live data like high-quality video, long-range 360-degree 3D point-cloud, precise locations, network signal quality, etc.
We will have two different test scenarios for this use case. One is located in OTE academy in Athens, Greece. This Test site is equipped with commercial grade 5g infrastructure and will test with great depth all 5g-related innovations of the 5G-ERA. The other at Robotnik’s facilities in Valencia Spain, where the with a portable 5G infrastructure, where we can test complex indoors and outdoor environments with uneven terrain, more similar to disaster event.
Within the 5G-ERA in this work package has been developed several network applications that serve a demonstration of the capabilities of the 5G-ERA new developments. This use case will prove the robot application will benefit from longer autonomy and greater computational capabilities by offloading some of the more heavy tasks to edge or cloud devices, with little effort to the robotic developers.