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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
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/
https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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iCub Joint Space Self-Collision Avoidance [Data & Code]

Research datakeyboard_double_arrow_right Dataset 03 Feb 2021 English Publisher:ZenodoFunded by:EC | SAHR
Authors: Koptev, Mikhail;

doi: 10.5281/zenodo.8387095 , 10.5281/zenodo.8387094

iCub Joint Space Self-Collision Avoidance [Data & Code]

Abstract

These data files containg code sources for dataset creation & model learning (Joint-Space-SCA.zip) and collected synthetic dataset of free & collided postures for humanoid robot iCub (raw_binary_data.zip). Follow the Readme.MD files to launch the code if needed. Corresponding Git repo: https://github.com/epfl-lasa/Joint-Space-SCA

Related Organizations
Keywords

Machine Learning, Collision Avoidance, iCub, Robotics, Python, Matlab

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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