2016
Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch
RA-L 2016
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