This work presents the design and implementation of an autonomous mobile robot intended for transporting small loads in a controlled indoor environment. The focus is placed on developing a platform capable of following a high-contrast line, detecting the endpoint of a predefined route, and autonomously performing object manipulation using a servo-driven gripper mechanism.

The system is based on the STM32F103C8T6 microcontroller, which processes signals from an infrared line-tracking sensor and an ultrasonic distance sensor. It controls four DC drive motors via an L298N driver and generates PWM signals to control four SG90 servo motors responsible for gripper rotation, opening/closing, and arm lifting operations.

Throughout the project, a well-justified selection of hardware components was performed. A complete structural and functional scheme was developed, mechanical and stability calculations for the chassis were provided, and custom firmware was created to implement line-following behavior, sensor signal processing, and object handling logic. Possible development paths are proposed, including migration to a Raspberry Pi platform with integration of computer vision and artificial intelligence modules.

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The aim of this diploma thesis is to design and implement an automated air quality control system for a civil protection shelter intended to accommodate up to 10 people. The system is developed in accordance with current national construction standards and is designed to maintain a safe indoor microclimate in both normal and emergency conditions. It operates in two modes: a clean ventilation mode that supplies fresh air with standard filtration under regular circumstances, and a filtration-ventilation mode that is activated in case of chemical or biological threats, providing multi-stage air purification. The practical relevance of this work lies in the potential integration of the system into residential shelters to enhance safety and autonomy. The proposed solution can also serve as a prototype for broader applications in smart building technologies and emergency preparedness systems.

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The diploma project is devoted to the development of an optoelectronic accelerometer for the LAV stabilization complex. Today, the topic of armament is relevant. In most cases, this is the modernization of old equipment. One of the ways to improve the efficiency of military equipment is to increase the accuracy of shooting, and therefore the measuring equipment of the weapon stabilizer, in particular accelerometers.
This project considers existing stabilization systems and combat modules that improve their accuracy using such systems. Also, various types of accelerometers were considered, namely their designs, principles of operation, advantages and disadvantages.

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The diploma project includes a list of symbols and abbreviations, an introduction, five main chapters, conclusions, and a list of references. It consists of 75 pages of main text, 33 figures, 1 table, and 15 references.

Purpose and Objectives of the Diploma Project. The purpose of the diploma project is to describe the concept and develop a training system for an automated defibrillator, which is part of the research on modern automated medical technical systems aimed at enhancing safety and preserving human life in critical situations.

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The thesis on “Automated portable complex for detecting and analyzing radio signals based on SDR technologies” is devoted to the development of an autonomous device for operation in conditions of limited access to traditional infrastructure. The relevance of the research is driven by the need for mobile and flexible solutions in military operations, rescue missions, and field research.

The main goal of the work was to create an architecture and software and hardware implementation of a compact complex based on software-defined radio (SDR) technologies. As part of the study, a comparative analysis of modern SDR devices was conducted, including HackRF One, Malahit DSP2, Amator SDR, and others, which allowed us to reasonably choose the optimal configuration for building the system.

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  1. Hryhorchuk O. Automatic control system for solar panel orientation
  2. Dovbysh I. Quadrotor UAV attitude estimation system
  3. Pydoryna Y. Delta robot for pick-and-place operations
  4. Sokol I. Automated indoor microclimate control system

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АСНК КПІ ім. Ігоря Сікорського, 2021