A thorough analysis of unsupervised learning techniques used in the health monitoring of industrial robots explores significant trends and key algorithms, such as clustering, autoencoders, and generative models, assessing their effectiveness in identifying faults and performance degradation.
Muhammad Umar Elahi, Rana Talal Ahmad Khan, Muhammad Haris Yazdani et al.· Mathematics· 0 citations