ANALYSIS TO IMPROVE THE PERFORMANCE OF A SIX-AXIS ROBOT

Abstract

This works on maintenance and real-time diagnosis methods for six-axis robots to ensure their stable operation and production efficiency. Two main areas of maintenance are discussed – software and technical. Software failures can be caused by incorrectly written data, faulty code or poor interface management, which can directly affect the performance of the robot and the quality of production. The technical part analyses the maintenance of spare parts, the optimization of energy consumption and the monitoring of sensors to reduce mechanical and electrical failures. The analysis also highlights the use of real-time sensor data and artificial intelligence algorithms for quick fault detection and preventive maintenance, contributing to the reliability of the system and reducing the risk of major failures.