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Dataset . 2021
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 . 2021
License: CC BY
Data sources: ZENODO
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 . 2021
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 . 2021
License: CC BY
Data sources: ZENODO
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AndyData-lab-onePersonTeleoperatingICub

Authors: Penco Luigi; Jean-Baptiste Mouret; Serena Ivaldi;

AndyData-lab-onePersonTeleoperatingICub

Abstract

This dataset contains physical measurements of a human operator teleoperating the humanoid robot iCub. The operator controlled the robot while performing different tasks: reaching a low/mid-height target with the right hand, reaching a high target with the right hand, picking up a box located at different locations and placing the box at different locations. The operator's whole-body kinematics was recorded with inertial motion capture systems. All data files are in csv format. Training and validation data were used to learn movement primitives for the whole-body trajectories and were acquired when teleoperating the robot in a local network with ideally no delay. Compensated data show the whole-body trajectories used to control the robot in non-ideal networks affected by delays. A detailed description of how the data were collected and/or generated is available in the paper associated with the dataset: "Prescient teleoperation of humanoid robots" (Penco et al., hal preprint) https://hal.archives-ouvertes.fr/hal-?/document

Keywords

teleoperation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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