Review
Open access
Jul 2026
Unsupervised Learning for Industrial Robot Health Monitoring: Trends, Techniques, and Challenges
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