Scharff, Rob (2021): Sensorized Soft Actuator Datasets. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16943239.v1

Dataset

x choose version: version 2 - 2021-11-10 (latest)

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proprioception, sensorized soft robots, soft-robot

2019

CC BY-SA 4.0

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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.

• 2021-09-30 first online

• 2021-11-09 published, posted

4TU.ResearchData

live soft sensorized actuator sensor data (.csv) ground truth actuator state images (.png) training data for NN training of shape predictor for actuator (.csv)

Color-Based Proprioception of Soft Actuators Interacting With Objects

TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering (SDE)