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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Training dataset from the Da Vinci Research Kit

Authors: Rivas-Blanco, Irene; Pérez-Del-Pulgar, Carlos; Mariani, Andrea; Tortora, Giuseppe;

Training dataset from the Da Vinci Research Kit

Abstract

The use of data sets are getting more relevance in surgical robotics since they can be used to recognise and automate tasks in the lab. Also, it allows to use a common data set to compare different algorithms and methods. The objective of this work is to provide a complete data set of several training tasks that surgeons perform to improve their skills. For this purpose, the Da Vinci research kit has been used to perform a different training tasks. The obtained data set includes all the information provided by the da Vinci robot together with the corresponding video from the camera. Kinematic data has been collected at 50 frames per seconds, and images at 15 frames per seconds. All the information has been carefully timestamped and provided in a readable csv format. The application used to retrieve the information from the da Vinci research kit, as well as tools to access the information are also provided. 

The European Robotics Research Infrastructure Network (TERRINet) - Grant Agreement no. 730994 Please cite as: arXiv:2102.03643

Keywords

Automation, robotic surgery, da Vinci Research Kit

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