Detecting Software Anomalies in Robots by Means of One-class Classifiers

Today's article comes from the Applied Artificial Intelligence journal. The authors are Quintian et al., from the Universidade da Coruna, in Spain. In this paper, they design a diagnostic system that can detect odd behaviors and intermittent errors in manufacturing robots.

DOI: 10.1080/08839514.2025.2538459

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