## 7 Conclusions  
The paper describes the steps taken to install, deploy, and test an indoor positioning system that will be used to synchronize the movements of mobile autonomous robots in order to implement a new surveillance algorithm. The surveillance of strategic targets, such as critical infrastructures, military areas, borders, transport networks, or sensitive industrial spaces, poses significant technological and security challenges. These challenges are generated by the increasing complexity of threats, from cyber attacks and physical shortage to industrial security incidents or terrorism.  
The involvement of humans in the surveillance of these strategic targets may remain important, but it has a number of limitations and challenges. Long-term surveillance can lead to fatigue and decreased attention, which can compromise human efficiency, especially in the case of monitoring complex systems or physical patrols. Human personnel can be a direct  
Figure 24: Team of robots.  
target for attackers, and their physical security is a concern in itself. Security personnel require ongoing training, salaries, and the provision of a safe working environment, which can involve significant costs, especially in areas where constant surveillance is required. In hard-to-reach places or in extreme environmental conditions, people may be physically limited, and the use of robots and drones becomes more efficient and safer.  
Following the work presented in this paper, a synchronization algorithm coordinates the movements of all robots to avoid overlapping tasks and maximize target coverage. The robots communicate with each other, by radio, to update each other's positions and states in real time. Each robot has an optimized path, avoiding collisions and optimizing reaction time. Using proximity sensors, each robot detects activities or anomalies in its area of action, and in case of danger, transmits the data to the drone. The synchronization algorithm manages this data in real time and transmits commands to the drone.  
Furthermore, further testing the system will be performed in a 3D environment, allowing for all the autonomous robots (terrestrial and flying) to be concurrently used without limiting usage to a single plane. Following the analysis of the research results and the experimental determinations presented in this paper, several further development directions have been identified, including the implementation of the proposed system for various beneficiaries, the development of an external monitoring system for strategic objectives, the integration of artificial intelligence to develop new control and command algorithms for the system, conducting an economic study for the developed system, as well as the implementation of other types of robots and drones capable of operating in external conditions. Additionally, it is necessary to include in the control algorithm conditions related to integrating human partners into the system.  
Conceptualization, V.C. and A.V.; methodology, V.C., A.V. and E.M.; software, V.C. and A.V.; validation, M.A. and E.M.; formal analysis, M.A. and E.M.; investigation, V.C., E.M. and A.V.; resources; data curation, V.C.; writing--original draft preparation, E.M. and V.C.; writing--review and editing, A.V., M.A. and E.M.; visualization, V.C. and E.M.; supervision, E.M. and M.A.; project administration, V.C.; funding acquisition, V.C. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Not applicable.  
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.  
The authors declare no conflicts of interest.