Ken E. Friedl

Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch

Giving robots the ability to classify surface textures requires appropriate sensors and algorithms. Inspired by the biology of human tactile perception, we implement a neurorobotic texture classifier with a recurrent spiking neural network, using a novel semisupervised approach for classifying dynam