GitHub / Subhash-777 / Cross-Domain-transfer-learning-from-Human-Motion-to-Robot-Fault-Detection

The code trains an LSTM-based residual model on human motion data and applies transfer learning to detect robotic joint faults. It preprocesses data, maps robot features to human-like patterns, and fine-tunes a model while freezing early layers. The optimized model is evaluated with class weighting, callbacks, and feature importance analysis.

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Topics: bilstm-model, feature, feature-adaptation, feature-engineering, fine-tuning, lstm-model, lstm-neural-networks, nn, python3, rnn, tensorflow

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