ANOMALY DETECTION AND SELF-HEALING FOR ROBOTIC PROCESS AUTOMATION VIA ARTIFICIAL INTELLIGENCE / MACHINE LEARNING

摘要

Anomaly detection and self-healing for robotic process automation (RPA) via artificial intelligence (AI) / machine learning (ML) is disclosed. RPA robots that utilize AI/ML models and computer vision (CV) may interpret and/or interact with most encountered graphical elements via normal learned interactions. However, such RPA robots may occasionally encounter new, unhandled anomalies where graphical elements cannot be identified and/or normal interactions will not work. Such anomalies may be processed by an anomaly handler. The RPA robots may have self-healing functionality that seeks to automatically find information that addresses anomalies.