The aim of the thesis project is to develop a model of an industrial robot, in particular its hardware for the implementation of the process of robotic sorting of objects in the machine and instrument engineering industry.

The thesis project analyses the current state of robotic sorting, namely, it identifies the need for the development of robotics in Ukraine, as it is currently at a very low level. A general structural diagram of the robotic sorting system has been developed, as well as a kinematic diagram of the industrial robot model, which defines its main geometric and functional parameters.

The thesis presents the design and implementation of an automated greenhouse microclimate control system. The main objective of the project is to improve agricultural productivity by monitoring and maintaining optimal environmental conditions for plant growth. The work describes the selection of temperature, humidity, CO₂ concentration, and soil moisture sensors, as well as their integration with an Arduino Nano microcontroller. A control algorithm and software structure for microclimate regulation are developed. A comparative analysis of alternative technical solutions is provided. The project has practical value for implementing precision agriculture systems in small-scale farming operations.

In the diploma project, an eddy current device for controlling aircraft elements - non-separable riveted joints of aluminum sheets was developed, using a multi-differential type eddy current transducer as a sensor.

The project consists of three sections. The first section considers the physical foundations of eddy current flaw detection and the features of riveted joints of aluminum sheets as objects of non-destructive testing. The features of using eddy current non-destructive testing to detect cracks in riveted joints of aluminum sheets were analyzed, the results of a review of known eddy current non-destructive testing tools used to control aircraft during manufacture and operation were presented, and the research problem was formulated. In the second section, a structural diagram of the eddy current device was developed, the eddy current transducer signals were calculated, the element base for the implementation of electrical schematic diagrams was substantiated, and their description was given. The third section presents the results of the eddy current converter signal processing process and the evaluation of their information parameters. A general model of the converter signals is presented, a modeling program is developed in the Matlab environment, and the results of computer model experiments with the converter signal models taking into account the ADC bit depth are presented.

The work presents the development of an automated control system for the cold brew coffee preparation process using the slow drip method.
The aim of the study is to create an accessible technical solution to improve the stability, efficiency, and convenience of the brewing process. The object of the study is the extraction process of flavor compounds under the influence of cold water, while the subject is the control system for water supply, brewing time, and sensor-based feedback.

The first chapter outlines the project objectives, analyzes existing solutions, and reviews the historical development of cold brew technology, highlighting technical features of the selected method. The second chapter describes the system architecture, operating principle, and component selection — including microcontroller, sensors, and actuators. The third chapter focuses on system implementation: control algorithm, user interface, circuit diagram, and interaction logic between modules. The fourth chapter includes functionality assessment, efficiency calculations, and analysis of the practical applications of the engineering solutions used.

The objective of this diploma project is to develop an automated control system for an industrial robotic manipulator, consisting of two complementary components: a scaled-down “master” arm, whose movements are captured by potentiometers, and a full-sized “slave” arm that replicates these movements in real time, controlled by an Arduino Leonardo microcontroller and a 16-channel PWM controller (PCA9685) driving MG995, DS3218, and SG90 servo motors. The system ensures precise positioning, maintains a torque reserve of approximately 43% on critical axes, and displays the actuator status on an LED indicator.

The project includes an analysis of the global collaborative robotics market, formulation of the technical requirements, justification for the selected hardware components, as well as calculations of power consumption, response accuracy and dynamics, and the required torque for the base drive. The work also comprises the development of an electrical schematic, software algorithm, 3D modeling of parts in Fusion 360, and fabrication of a working prototype using FDM 3D printing with PETG/PLA, including optimization of print settings and support structures.

АСНК КПІ ім. Ігоря Сікорського, 2021