Vision-based tactile sensor data

<div><div><p>The dataset comprises image sequences that represent the texture of different objects grasped by a vision-based sensor, and can be used for the purposes of object classification, amongst other things. The dataset is divided by the use of either a gel-type sensor, or a pneumatic-type sensor. The details of the construction of these two types of sensors can be found in the papers referenced at the end. </p></div><div><p>The gel-type vision-based tactile sensor section contains 2000 PNG images for each of 9 different carbide tools, each image having pixel dimensions 228x228. </p></div><div><p>Complementing the gel-type sensor data, the dataset also contains image sequences collected using a pneumatic-type sensor. This includes the textures of 7 types of 3D priting infill patterns, as well as profiles of 11 types of handtools. Each object is represented by 250 PNG images of pixel dimensions 228x228. </p></div><div><p>This comprehensive dataset, has applications in robotics, automation, and the broader spectrum of tactile sensing.<br></p><p>Publications detailing research related to these data can be found at<br></p><p>http://doi.org/10.1109/AIM52237.2022.9863285               and<br></p><p>https://orca.cardiff.ac.uk/id/eprint/162820<br></p></div></div>