###### Abstract  
This paper presents the development of fleet management software for mobile robots, including AGV and AMR technologies, within the scope of a case study from the GreenAuto project. The system was designed to integrate position and status data from different robots, unifying this information into a single map. To achieve this, a web-based platform was developed to allow the simultaneous, real-time visualization of all robots in operation. However, the main challenge of this research lies in the heterogeneity of the fleet, which comprises robots of different makes and models from various manufacturers, each using distinct data formats. The proposed approach addresses this by facilitating fleet monitoring and management, ensuring a greater efficiency and coordination in the robot movement. The results demonstrate that the platform improves the traceability and operational supervision, promoting the optimized management of mobile robots. It is concluded that the proposed solution contributes to industrial automation by providing an intuitive and centralized interface, enabling future expansions for new functionalities and the integration with other emerging technologies. The proposed system demonstrated efficiency in updating and supervising operations, with an average latency of 120 ms for task status updates and an interface refresh rate of less than 1 s, enabling near real-time supervision and facilitating operational decision-making.  
* The Development of a Fleet Management System: The creation of a platform that integrates different types of mobile robots, enabling real-time monitoring and the efficient management of operations.
* The Integration of Diverse Technologies: The implementation of a system that unifies data from AGVs and AMRs from different manufacturers, overcoming compatibility and data standardization challenges.
* The Improvement in Operational Efficiency: A demonstration of how the proposed platform can optimize workflows and reduce robot downtime.
* An Intuitive and Centralized Interface: The development of a web interface that facilitates the supervision and control of robots, promoting a simplified and intuitive user experience.
* Scalability and Adaptability: A discussion on the potential for expanding the system to include new functionalities and integrate emerging Industry 4.0 technologies.  
The structure of this article is organized as follows:  
Section 1 introduces the motivation behind this paper. Section 2 presents the context of the case study addressed in this paper. Section 3 presents the state of the art, divided into three aspects: a comparison between AGVs and AMRs, the widespread use of AGVs and AMRs in industry, and the current state of the literature regarding fleet management systems. Section 4 presents the robotic systems being used for the case study under analysis. Section 5 demonstrates the proposed methodology for developing a fleet management system. Section 6 shows the results and functionalities of the developed system. Section 7 presents a discussion of the work carried out, framed within the challenges in the industry. Finally, Section 8 discusses the results obtained, the contributions made, and suggestions for future work.