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Dávid Bodnár

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Open access Aug 2026

Multi-Class Anomaly Detection in an Industrial Robot Arm

This paper introduces a specialized Parallel Inception-style 1D-CNN (PINC) architecture designed for real-time condition monitoring of the Universal Robots UR3e platform and shows that the PINC model effectively captures vibrational signatures without depending on high-latency cloud processing.

Dávid Bodnár, K. Jármai · 0 citations

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