# S4 Features and Artificial Intelligence for Designing a Robot against COVID-19--[PERSON]
## 8 Discussion  
Indeed, since the outbreak of the COVID-19 virus, many industrial and educational sectors have been severely affected, shutting down most of their activities to minimize the spread of the disease. Although some countries have attempted to resume particular scholar, empresarial, and touristic activities, these have been shut down intermittently due to the resurgence of infections. This would indicate that other preventive measurements besides social distancing and sanitizing points need to be implemented to manage the reactivation of these activities better. However, due to the variability in the possible scenarios, one would be mistaken to consider that only one solution will fit all reemerging sectors. In that sense, the introduction of the Robocov as a modular system, designed to follow the S4 concept with AI features, can be highly beneficial to the reactivation paradigm. Robocov was designed using a central platform that considers smart, sensing, sustainable, and social features. This means that Robocov was based on a platform conception, so the platform concept allows a connection of the required elements for specific tasks as a reconfigurable system. If Robocov were designed using a product concept, Robocov would be tailored for a specific task, and the robotic system would be closed for designing more applications. Hence, the proposed robot could not cover more end-user needs. Besides, this robotic platform can be used in agriculture or space tasks when the COVID-19 pandemic is finished.  
The modularity of the presented Robocov can be advantageous; its modules can be easily interchanged to fit a specific scenario. In the case of disinfection tasks, these can be accomplished during and after working hours owing to its possible disinfection methods. The easy interchangeability for the use-case of these modules makes the disinfection system a flexible solution. For example, the atomizer system can operate in most public spaces; however, this method may not be the best option in certain areas. For those cases, the disinfection modules can be interchanged to fulfill the sanitizing task. The UV disinfection module may not perform optimally in highly illuminated spaces in the same context. In such cases, the atomizer module can be a better fit to fulfilling the sanitizing objective. It is essential to mention that the interchangeability of these modules does not interfere with the S4 features behind the disinfection system.  
In addition to the sanitizing capabilities, the Robocov can also be switched to a monitoring system. By doing this switch, the S4 features change since the objective of each module is different, requiring a different solution for each S4 level. For example, the actuators concerning the Smart level change from sanitizing methods to speakers when switching from the disinfection to the monitoring system. The monitoring system helps to control the alumni and personnel better as a second filter inside the institution by running an AI algorithm capable of detecting the correct and incorrect use of facemasks, the attainment of social distancing norms, and the temperature measurement to avoid any infectious scenarios.  
Furthermore, the monitoring system can be paired with other disinfection and cargo modules. This cooperative work improves the productivity of the Robocov system since a significant number of tasks can be accomplished by having two or more modules at the same time. Overall, there is no doubt that the productivity and flexibility of implementing a modular design can benefit the reactivation of scholar and entrepreneur sectors, allowing a better reintegration of students and workers to a safer and disinfected working area. As mentioned before, the modular S4 design and the AI engines could be combined to design a robot that could help to minimize the impact of COVID-19.