This article discusses the development of an autonomous mobile robot equipped with a computer vision system for spatial orientation and intelligent motion control. The relevance of the study is associated with the rapid development of mobile robotics and the increasing demand for automation in industry, transportation, healthcare, and other fields. The main objective of the work is to create a robotic system capable of autonomous movement, object recognition, and collision avoidance in a dynamic environment.

The paper describes the architecture and hardware structure of the mobile robot, including a Raspberry Pi 3 single-board computer, a web camera, an L298N motor driver, a wheeled platform, and a power supply system. Intelligent control is implemented using computer vision algorithms based on the OpenCV library, which enable video stream analysis, object boundary detection, and real-time decision-making for robot navigation.

The results of the study demonstrated that the developed robot can effectively perform autonomous navigation, obstacle detection, and adaptation to environmental conditions. The software provides high image-processing accuracy and stable operation of the control system. The developed robotic platform demonstrates the перспективность of applying artificial intelligence and computer vision technologies in mobile robotics and can be used for educational, research, and practical applications.

MULLAGALIEV I.N.

Candidate of physical and mathematical sciences, senior lecturer at the department of electronics and nanostructure physics, Ufa university of science and technology, Ufa, Russian Federation

E-mail: mullagalievin@uust.ru, https://orcid.org/0000-0002-7037-6201

KHADYEV Т.Е.

Student, faculty of physics and technology, educational program in electronics and nanoelectronics, Ufa university of science and technology, Ufa, Russian Federation

E-mail: t7689010@gmail.com, https://orcid.org/0000-0002-8283-5807

AKHMETYANOV I.I.

Student, faculty of physics and technology, educational program in electronics and nanoelectronics, Ufa university of science and technology, Ufa, Russian Federation

E-mail: kazeinatn@gmail.com, https://orcid.org/0009-0009-6753-3120

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autonomous mobile robot, mobile robotics, technical vision, intelligent control, computer vision