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Software . 2022
License: https://opensource.org/licenses/MIT
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
Software . 2022
License: https://opensource.org/licenses/MIT
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/
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Software . 2022
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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hucebot/promp: v1.0.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 14 Dec 2022Publisher:ZenodoFunded by:EC | An.Dy
Authors: Luigi; Ivan Bergonzani; Waldez Azevedo Gomez Junior; JB Mouret; Serena Ivaldi;
Code repository: https://github.com/hucebot/promp/tree/v1.0.0

doi: 10.5281/zenodo.7438257 , 10.5281/zenodo.7438258

hucebot/promp: v1.0.0

Abstract

December 2022 release. This is the first public version. This is a library in C++ that implements Probabilistic Motion Primitives algorithms. References : Paraschos A, Daniel C, Peters J, Neumann G. Probabilistic movement primitives. Advances in neural information processing systems. 2013. [pdf] Paraschos A, Daniel C, Peters J, Neumann G. Using probabilistic movement primitives in robotics. Autonomous Robots. 2018 Mar;42(3):529-51. [pdf].

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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