Oleksandr
Bilokon

Mathematical methods of artificial intelligence, research into artificial neural networks and their
architectures. Computer vision algorithms for robotic applications. Robotic automation of machine
tools and equipment, wheeled robotics, medical and surgical robotics, automation of CAD systems,
and intelligent mechatronic systems.

My research focuses on the study of mathematical computational models based on artificial intelligence and artificial neural networks, applied geometry and engineering graphics, theory of machines and mechanisms, machine parts. I also research algorithms for motion planning, control and navigation, SLAM, artificial intelligence and machine learning methods, as well as theoretical foundations of computer science, in particular formal models and the theory of automata, for autonomous robotic systems and their computational modeling.

The engineering aspect of research and development includes the design of neural network architectures, testing and deployment on various computing capacities, mainly microprocessor systems. Also engineering developments and computer design of hardware developments for robotic systems, development of CAD models and technical documentation, in particular 2D drawings and 3D models for prototyping and integration of complex systems.

The goal is to create reliable, scalable and reproducible solutions for both software and computing implementation and hardware devices for robotic solutions in applied robotics developments.