Aleksandr B.

Robotics and AI researcher. PhD in Computer Science, author of technical materials and technical illustrations. Sharing my knowledge through my content is very important to me. I create drawings and 3D models. I research new technologies, cyber-physical systems, robotics and robot mechanics. I create mathematical models of artificial intelligence for robotics, as well as intelligent data processing. I study physics, mechanical engineering, robotics. My dissertation on "Neural Network Models and Finite Machine Strengthening Methods for Maze Traversal Problems" is devoted to neural network models of finite state machines in labyrinths and focuses on the initial aspects of forming a theory of visual information in abstract labyrinth environments using neural network models. Theories of visual perception of labyrinths have wide areas of research. For example, such as navigation in abstract two-dimensional and three-dimensional environments and the features of covering these environments with a viewing angle at different viewing angles.