Skip to main navigation Skip to search Skip to main content

Neuromorphic Tactile Edge Orientation Classification in an Unsupervised Spiking Neural Network

    Dataset

    Description

    The following data was obtained from the NeuroTac tactile sensor mounted on a Dobot magician robotic arm. The NeuroTac was brought into contact with a sharp edge either through sliding horizontally across it ("sliding") or tapping vertically downwards on it ("tapping"). Each type of tactile interaction was repeated 20 times for angles from 0-180 degrees in steps of 10 degrees.

    Supported by EPSRC Doctoral Training Partnership (EP/R513179/1), Royal Academy of Engineering Fellowship on "Shared autonomy neuroprosthetics: Bridging the gap between artificial and biological touch" (RF\202021\20\171) and a Leadership Award from the Leverhulme Trust on `A biomimetic forebrain for robot touch' (RL-2016-39)
    Date made available12 Sept 2022
    PublisherUniversity of Bristol

    Cite this