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This project compares Random Forest and Logistic Regression classifiers and selects the best-performing model to predict and differentiate between healthy operation and faults (Robot Protective Stop) for a UR3 Cobot. The selected model achieves an F1-Score of 0.53 and a real-time inference latency of 6.47 ms.
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32
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