Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

A novel multiscale variational autoencoder aided convolutional neural network (MSVAE-CNN) model is developed to estimate the current absolute 6-DoF pose of the tunneling machine in an end-to-end ...

Abstract: We propose a learned probabilistic neural policy for safe, occlusion-free target tracking. The core novelty of our work stems from the structure of our policy network that combines ...