Robot control method based on angle and distance estimation to obstacles

The article explores the method of controlling mobile robots based on the estimation of angles and distances to obstacles. Algorithms using data from various sensors, such as LIDAR and ultrasonic sensors, are proposed for constructing environmental maps and efficient route planning. Special attention is given to obstacle avoidance methods and the analysis of the accuracy and reliability of the obtained data. Existing approaches to localization and navigation of mobile robots in real-world conditions are discussed, along with the prospects for the application of autonomous systems in various fields, including transportation, industry, and medicine. The results of testing the algorithms on various platforms are presented, confirming their effectiveness in real-world scenarios.