Preprint proposes interpretable deep learning for tactile material recognition
A new arXiv preprint describes three deep-learning routes for classifying materials from multisensory touch data and reports that thermal cues were consistently important. The authors say direct classification approached near-perfect accuracy, while models designed to reflect human perceptual stages performed less…