As part of his bachelor's thesis, he developed a system for automatically controlling the orientation of solar panels. The thesis project consists of three chapters, which are the key elements of the research.

The main outcome of the work is the creation of an autonomous system that provides initial adjustment of the orientation of solar panels using a GPS module, which allows determining the geographical location and time for accurate positioning. Further adjustment is carried out using light-sensitive sensors that respond to the intensity of sunlight, ensuring that the panels are optimally positioned throughout the day. In addition, a wind sensor is integrated to activate system protection when safe wind speeds are exceeded, preventing mechanical damage and increasing reliability of the solar tracking system.

The main target of this diploma project is to develop an attitude estimation system, which allows the drone to perform high-level tasks, such as ”take off” or ”move forward” independently. This project is a convenient ground for further research in the field of the UAV autonomy.

Within the framework of this project the inertial navigation system was developed, what allows drone to operate in known environment, estimating the pose with respect to the initial position. Data processing algorithms are analyzed, to provide high accuracy of the measurements. Extended Kalman filter serves as a local observer, that canceling noise and random values and applied to the output of each sensor and the complimentary filter fuses data from different sources to minimize drift in time.

The bachelor’s thesis presents the development of a delta robot for automating picking and placing process. An analysis of existing types of robotic manipulators was carried out, based on which the design with parallel kinematics was justified. Kinematic calculations were performed, the working area was modeled, and the mechanical limitations of the system were identified.

A 3D model of the delta robot was created, and appropriate electrical components were selected. Based on this, the structural, functional, and schematic electrical diagrams were developed.

The result of the project can be used to create a prototype of the delta robot with further implementation in industrial processes for automation purposes.

The objective of this diploma project is to develop an automated indoor microclimate control system, comprising two separate devices: an air quality monitor and a microclimate control hub. The system also includes a web interface for displaying information about the current state of the microclimate and the status of actuators.

Within the framework of this project, the physical principles of measuring temperature, humidity, and gas concentrations were studied. The results of medical research regarding the impact of microclimate parameters on human health were analyzed. The necessary components for system operation were selected, electrical schematic diagrams were developed, software operation algorithms were created, assembly drawings were prepared, and a web interface for remote monitoring was implemented. Fully functional prototypes of both devices were designed and manufactured.