Abstract: This survey explores the potential of recurrent neural networks (RNNs) for analyse eye-trailling data, generally data obtained from Optometry systems. RNNs stand out at distinguishing ...
Abstract: Soft robot perception integrates information from distributed, multi-modal sensors, broadening their application to active interaction. Our work introduces recurrent learning models for ...