Sensorized Soft Actuator Datasets

doi: 10.4121/16943239.v2
The doi 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: 10.4121/16943239
Datacite citation style:
Scharff, Rob (2021): Sensorized Soft Actuator Datasets. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/16943239.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2021-11-10 (latest)
version 1 - 2021-11-09
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usage stats
1502
views
1
citations
505
downloads
time coverage
2019
licence
cc-by-sa.png logo CC BY-SA 4.0
Calibration and evaluation dataset that was used by Scharff, 2019. With permission of the authors, this data has been made available with this article. The calibration dataset consists of the RGBC (red, green, blue, clear) measurements of the four color sensors and the corresponding 2D marker coordinates for 1000 different actuator configurations. The evaluation dataset consists of a video where the actuator interacts with a variety of objects in combination with the corresponding RGBC-measurements.
history
  • 2021-09-30 first online
  • 2021-11-10 published, posted
publisher
4TU.ResearchData
format
live soft sensorized actuator sensor data (.csv) ground truth actuator state images for demo sequence, aswell as training data (.png) training data for NN training of shape predictor for actuator (.csv) marker data with basic NN output marker coordinate (.csv)
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering (SDE)

DATA

files (5)