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Sensorized Soft Actuator Datasets

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posted on 2021-11-10, 11:20 authored by Rob Scharff
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

Publisher

4TU.ResearchData

Time coverage

2019

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)