Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...
Abstract: The article introduces an approximate optimal control strategy grounded in the control barrier function (CBF) to address the challenges of ensuring safety in modular robot manipulators (MRMs ...
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