Gang Zhao

An unsupervised micro-anomaly detection method using UKAN with physical residual decoupling for industrial robots

Abstract Industrial robot grasping faces several key challenges, such as subtle anomaly features, scarce abnormal samples, significant domain shifts in training trajectories, and constrained edge computing capacities. To address these issues, this study introduces an unsupervised anomaly detection method, namely the Ph...