Slip Detection with a Biomimetic Tactile Sensor

The following data was obtained from the TacTip tactile sensor mounted on a UR5 robotics arm. A flat object was allowed to slip across the surface to the TacTip and the pin positions were recorded. 40 data files are included of which 20 were used to train support vector machine classifiers to detect slip. The remaining 20 were used to evaluate the success of the classifier. The support vector machines used in the study are also included in the data folder.

Supported by EPSRC Centre for Doctoral Training in Future Autonomous and Robotic Systems (FARSCOPE) at Bristol Robotics Laboratory, EPSRC grant on ‘Tactile superresolution sensing’ (EP/M02993X/1) and Leadership Award from the Leverhulme Trust on `A biomimetic forebrain for robot touch' (RL-2016-39).

Creator(s) Jasper James, Nicholas Pestell, Nathan Lepora
Funder Engineering and Physical Sciences Research Council
Publication date 04 Jul 2018
Language eng
Publisher University of Bristol
Licence Non-Commercial Government License for public sector information
DOI 10.5523/bris.1fbyzhdft4rhp2iyptqfbf2mp4
Complete download (zip) https://data.bris.ac.uk/datasets/1fbyzhdft4rhp2iyptqfbf2mp4/1fbyzhdft4rhp2iyptqfbf2mp4.zip
Citation Jasper James, Nicholas Pestell, Nathan Lepora (2018): Slip Detection with a Biomimetic Tactile Sensor. https://doi.org/10.5523/bris.1fbyzhdft4rhp2iyptqfbf2mp4
Total size 20.2 MiB

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Data Resources