ALGORITHM FOR ASSESSING THE COMBAT EFFECTIVENESS OF THE APPLICATION OF A RECONNAISSANCE-STRIKE ROBOTIC COMPLEX FOR MILITARY PURPOSES
Abstract
In the modern system of armed conflict, where hybrid and informational methods of solving combat tasks are relevant, it becomes increasingly important to develop effective methods for assessing the combat capabilities of reconnaissance-strike robotic systems. This research is aimed at creating a universal method for evaluating such systems in real combat conditions, ensuring a comprehensive approach to measuring their effectiveness. The authors emphasize the integration of algorithmic solutions designed to analyze the effectiveness of modern weapons and military equipment, allowing for a wide range of variables and tactical-technical characteristics typical of the current combat situation. The work pays special attention to identifying key characteristics of ground combat robotic complexes and investigating their use in groups. This opens paths for increasing combat effectiveness, reducing risks for personnel, and improving decision-making processes. Considering the implementation of autonomous technologies, the study highlights the significance of robotization in the context of military actions, focusing on the necessity of using machines in high-risk areas for humans. By analyzing existing methodologies for assessing the combat effectiveness of reconnaissance- strike samples of weapons and military equipment, the authors proposed an algorithm that takes into account the unique requirements and characteristics of robotic systems, including their firepower, mobility, and survivability. This algorithm can become the basis for the development of control systems for the next generation of robotic complexes, ensuring their increased combat effectiveness and ability to work effectively as part of groups in military operations. Thus, the results of this research represent a significant contribution to the field of military robotics, offering approaches that will help in the development and optimization of robotic combat systems. These developments can serve as a basis for improving strategies for the use of such systems on the battlefield.
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