Intelligent Data Monitoring: A Combination of Rule-Based and Machine Learning Approach

With the increasing use of robot applications in various industries, it is becoming more and more important to ensure safe and reliable execution of tasks. To address this need, a monitoring system is proposed that identifies and reports abnormal situations in robots. The focus of this research is on the development of a monitoring system that includes a rule-based approach aligned with current guidelines and standards. In addition, machine-learned patterns are used to enable the system to identify anomalies that surpass the constraints of predefined rules, enhancing the system’s capacity for detecting irregularities.