Deep learning approaches have improved anomaly detection but lack interpretability. We propose an explainable anomaly detection (XAD) framework using a sparse non-linear vector autoregressive network ...

Recently, neural network model-based control has received wide interests in kinematics control of manipulators. To enhance learning ability of neural network models, the autoencoder method is used as ...