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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. Traditional deep learning models for anomaly detection often require substantial computational resources. In contrast, our proposed PINC model uses p...

Dávid Bodnár, K. Jármai · 0 citations

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