Sensorized Soft Actuator Datasets

Datacite citation style:
Scharff, Rob (2021): Sensorized Soft Actuator Datasets. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16943239.v1
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
Delft University of Technology logo
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
  • 2021-11-09 published, posted
publisher
4TU.ResearchData
format
live soft sensorized actuator sensor data (.csv) ground truth actuator state images (.png) training data for NN training of shape predictor for actuator (.csv)
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering (SDE)

DATA

files (3)