## 7 Discussion  
The development of the fleet management system proved to be an effective solution for monitoring and supervising mobile robots from different brands and technologies, namely AGVs and AMRs, within a single software platform. The main challenge addressed was the difference between the various communication and data collection methods of the mobile robots. In this context, the integration of the robot location and status data onto a single map, with the overlay of predefined AGV routes and SLAM for AMRs, demonstrated an efficient approach for the simultaneous monitoring of different devices. The use of an intuitive web interface contributed to the practicality of the fleet manager, allowing operators to immediately and effectively monitor and supervise the status of mobile robots in operation. To reinforce the security and reliability of the system, an authentication mechanism with different access levels was implemented, ensuring the proper management of each user. Furthermore, the software is extensible, which represents a significant advantage for constantly evolving industrial environments, since it is possible to add new robots by simply adapting the data extracted from the new robot's API and standardizing it for the display in the software. It is important to clarify that the fleet management system developed in the scope of this work operates primarily at the level of the centralized monitoring and supervision of AGVs and AMRs, based on the position, status, and task progress data collected through the APIs provided by each robot manufacturer. The low-level control--namely path planning, the SLAM execution, and collision or obstacle management--is handled internally by each robot via the manufacturer's proprietary systems. The proposed system operates at a high level of abstraction, focusing exclusively on the monitoring of the location and operational status data from robots of different brands. This data is collected, translated, and standardized to be presented through a single, integrated interface, thereby facilitating supervision by human operators. Considering the results achieved, it is important to discuss the main contributions of the proposed solution to the current industrial context, as well as recognize its limitations and envision future technological developments. Firstly, the fleet management system presented in this manuscript constitutes a relevant advancement in the monitoring and coordination of diverse mobile robots in industrial environments. Its ability to centralize operational information from AGVs and AMRs--regardless of their brands or technologies--into a single point translates into more efficient management, with a direct impact on productivity and the reduction in operational failures. Additionally, by enabling the interoperability between devices from different manufacturers, the system significantly contributes to overcoming limitations, increasing operational flexibility, and facilitating the integration with other industrial automation systems. The real-time visualization of predefined routes and dynamic maps, through the overlay of information on the same graphical interface, is a valuable resource for operators. This approach, combined with an intuitive web interface, ensures a simplified user experience, favoring the rapid detection of anomalies and informed decision-making on time. From a cybersecurity and user management perspective, the implementation of different access levels offers granular and secure control over information and assigned permissions. The scalability of the system, in turn, makes it particularly suitable for constantly changing industrial environments, allowing it to keep pace with the growth of operations and the introduction of new robots or functionalities. Thus, the contributions presented demonstrate that the developed system effectively meets the current needs of the industry regarding the integrated management of diverse robotic fleets.