Russian Student Develops AI-Powered Sorting Software for Industrial Robots

A university project in Chelyabinsk has produced software that lets robotic arms sort objects autonomously—potentially transforming waste management and logistics.

Gleb Bogdanov, a student at Chelyabinsk State University, has created a software platform that equips robotic manipulators with computer vision. The system enables robots to sort objects independently, without human control—offering a viable alternative for difficult or unpleasant jobs like waste sorting.

Bogdanov’s prototype reads ArUco markers to identify the position of items and move them to specific locations. During a demonstration, the robot accurately and swiftly sorted four colored cubes, impressing onlookers with its speed and precision.

The software could also find applications in logistics hubs, e-commerce platforms, and manufacturing lines where intelligent robotic arms are used. Bogdanov plans to further refine the system by optimizing processing loads and improving marker recognition accuracy.