## 2 6G Convergence with Red AI Perspective in Terrestrial and Non-Terrestrial Applications
### Application 3: Red-AI-Enabled 6G Epidemic Prevention Service  
_Definition: Red-AI-Enabled 6G Epidemic Prevention Service_, marked as _RedAI-6G-EPreS_, is a service based on 6G communications and _Red AI_ view that centralizes upon accuracy, speed and provides epidemic services covering rapid medical item delivery, epidemic prevention visit, epidemic prevention map creation, etc. The _RedAI-6G-EPreS_ is supported by aerial-ground cooperation including UAVs in the air, mobile robots, smart devices, and autonomous vehicles on the ground.  
_System Goal_: The ultimate goal of _RedAI-6G-EPreS_ is to support epidemic prevention and to suppress pandemic spread Firstly, _RedAI-6G-EPreS_ deliberates on minimizing medical item delivery delay of UAVs and mobile robots from current locations to requested delivery service regions without any collisions among multiple UAVs and mobile robots. Secondly, _RedAI-6G-EPreS_ focuses on how to improve the completion time of epidemic prevention service and the prevention service. Thirdly, _RedAI-6G-EPreS_ makes good progress of epidemic service accuracy by system or users so that the scheduled various services should be completed correctly to satisfy specific accurate rate for requested tasks.  
_Operation_: Initially, the monitoring region of interests and the requested service area are identified by reported information from numerous smart devices, users, UAVs, mobile robots, autonomous devices with 6G-assisted communications during specific time. The _RedAI-6G-EPreS_ is performed at two different types: public area and private area. The public area allows the access for all kinds of devices. However, private area requires the access permission and then, only devices with permission can enter into private locations. With 6G communications and deep learning algorithms, AI agents decide which UAVs fly to the requested service area to deliver light-weighted medical materials such as masks, sterilizer, sanitary cup and also determine which mobile robots move to service locations to deliver relatively heavy-weighted epidemic prevention items such as protective gear, disinfected overgarment, etc. Then, AI agents not only create the matching schedule between available UAVs, mobile robots and requested services but also find the minimum distance trajectory for the mission with minimum delivery delay because the requested service can be emergent at harsh environment. In order to suppress pandemic outbreak, the epidemic prevention visit is mandatory and it should fulfill the standard of non-face-to-face or non-contact. So, after getting the permission into private fields and homes, the cooperation between mobile robots and UAVs in 6G convergent environment will be helpful for those epidemic visit missions of quarantine, visit screening tests, non-contact prescriptions of medical doctors which are non-face-to-face medical services such as mobile health application, platform. On the other hand, both UAVs and mobile robots can be utilized to spray disinfectant into target public and private areas rapidly. Hence, the cooperation among UAVs, mobile robots and other smart devices with 6G communications will contribute to several goals such as minimizing delivery delay, reducing epidemic prevention completion time, maximizing the throughput of required epidemic mission tasks.  
Figure 4 depicts the proposed applications of _RedAI-6G-VEmBAR_, _RedAI-6G-VEmroLOWMAP_, and _RedAI-6G-EPreS Red AI_ view. It pursues to accomplish maximum accuracy, maximum speed, minimum delay, maximum performance for those applications.  
Figure 4: A depiction of applications with main components, operations and objectives including _RedAI-6G-VEmOBAR_, _RedAI-6G-VEmroLOWMAP_, and _RedAI-6G-EPreS_ with _Red AI_ view.