Research is being conducted on real-time fault diagnosis in industrial robotics, with various approaches being explored, including the use of discrete and slantlet wavelet transformations. Other methods being investigated include predictive maintenance, synthetic data, and edge AI applications, with some studies focusing on specific components such as BLDC motors and electric motors. The use of AI algorithms, IoT platforms, and acoustic-based techniques are also being examined for anomaly and failure prediction in industrial machinery.