AI significantly enhances robot diagnostics by enabling proactive identification of potential issues. It leverages machine learning algorithms to analyze vast amounts of sensor data, including temperature, vibration, current, and joint angles, in real-time. This allows for anomaly detection, pinpointing deviations from normal operating parameters that may indicate impending failure or degraded performance. Furthermore, AI powers predictive maintenance systems, forecasting when specific components might fail based on historical data and current operational patterns. By providing root cause analysis, AI helps technicians quickly understand *why* a problem occurred, thereby reducing downtime and maintenance costs. Some advanced systems even offer automated troubleshooting recommendations or adjust robot parameters autonomously to prevent issues from escalating. More details: https://astra-s.com.ua