The master's thesis is devoted to solving the urgent scientific and applied task of creating a mobile tracked platform for automated reconnaissance and environmental monitoring. The work substantiates the necessity of developing an affordable yet functional robotic complex capable of performing tasks in high-risk conditions for humans. The primary focus is on designing the hardware-software architecture that combines autonomous navigation, secure communication channels, and multi-sensor environmental analysis.
Relevance of the topic: The application of automated information-measuring systems in military reconnaissance allows for reducing risks to personnel and increasing the accuracy and speed of obtaining intelligence information. The use of tracked robotic platforms with modern sensors contributes to the effective conduct of operations in complex conditions, such as rough terrain or hazardous zones. This approach ensures enhanced situational awareness, operational decision-making, and improved unit safety. The total volume of the master's thesis is 154 pages. The thesis contains an introduction, 5 chapters of the main text and conclusions, 39 illustrations, 44 tables, and 62 references.
Aim of the work: The aim of the work is to increase the efficiency and safety of intelligence gathering by an instrumented automated information-measuring system based on a mobile tracked robotic platform.
Tasks:
1)To analyze modern information-measuring systems and technologies for their integration into robotic platforms.
2)To select optimal sensors, data collection, and processing modules that meet the requirements of reconnaissance operations.
3)To develop hardware and software for the automated collection, analysis, and transmission of reconnaissance information.
4)To conduct testing of the developed system on a tracked platform in conditions approximating combat.
5)To evaluate the system's effectiveness compared to existing analogues and provide recommendations for its further improvement.
Object of research: The process of conducting reconnaissance operations using robotic platforms.
Subject of research: Automated platform for reconnaissance.
Scientific novelty: Reconnaissance operation technologies have been improved through the integration of state-of-the-art sensors and data processing algorithms into a robotic platform, which allowed for increasing the system's accuracy, responsiveness, and autonomy.
Practical value: An instrumented automated information-measuring system has been developed, which ensures effective data collection and analysis for reconnaissance operations. Recommendations regarding the selection of sensors and processing algorithms have been defined, contributing to increased personnel safety and improved situational awareness.
Research advisor: O. Bezvesilna
The full text of the work is not published by the decision of the department
