Sirius Researchers Develop Adaptive Control System for Industrial Robots
The new system adjusts robotic equipment in real time, eliminating the need for extensive reconfiguration.
Researchers at the Information Technology and Artificial Intelligence Research Center of the Sirius University of Science and Technology have developed an adaptive control system for industrial robots. The technology is designed to rapidly adjust the operating parameters of robotic manipulators, eliminating the need for complex reconfiguration.
The system combines an industrial robotic manipulator, a machine vision camera, and a force-torque sensor. It analyzes the position of workpieces in real time, monitors applied force, and continuously adjusts the robot's movements.
The researchers also developed calibration methods, mathematical models describing contact with elastic materials, and software incorporating motion stabilization and data exchange algorithms. Particular attention was given to threaded assembly operations, which account for up to one-quarter of all industrial manufacturing tasks.
The developers believe the platform can be deployed across a wide range of manufacturing industries.
