Data underlying the publication entitled "Efficient tactile encoding of object slippage"

DOI:10.4121/19329506.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/19329506
Datacite citation style:
Laurence Willemet (2022): Data underlying the publication entitled "Efficient tactile encoding of object slippage". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19329506.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The dataset contains the processed supporting data for the publication entitled "Efficient tactile encoding of object slippage" submitted in Scientific Reports. In this paper, we highlight the dominant patterns of deformation during a finger slippage, and we show that they are sufficient to estimate the distance between the frictional force and the frictional strength of the contact, defined by the safety margin.
The raw data include images of the participants' fingerprints, which are sensitive, so they will be available only upon request.To know more about each file, please read the README file.

History

  • 2022-03-10 first online, published, posted

Publisher

4TU.ResearchData

Format

Matlab format

Funding

  • Perception and Handling enabled by Artificial tactile SEnsing – Phase (grant code ANR-16-CE10-0003) [more info...] Agence Nationale de la Recherche
  • Interactive Optical Tweezers with Tactile Feedback – IOTA (grant code ANR-16-CE33-0002) [more info...] Agence Nationale de la Recherche
  • 4TU Soft Robotics program

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics.

DATA

Files (1)