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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
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 . 2019
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2019
License: CC BY
Data sources: Sygma
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Data set: Industrial IoT-driven remote path planning

Authors: Athanasopoulos, Nikolaos; Avgeris, Marios; Spatharakis, Dimitrios;

Data set: Industrial IoT-driven remote path planning

Abstract

This compressed file contains data from three different experiments during the IIoT-REPLAN experimentation phase (Industrial IoT-drive remote path planning). IIoT-REPLAN was funded by an open call from the H2020 Fed4FIRE+ project. Contents: A. astar.csv This file contains the timestamp of each movement of the Robot and the uncertainty (d) at each specific time that Switch 1 was checked. The first two columns refer to seconds while the third one is a scalar value. The total duration of the experiment is 62.33 sec and the setup of this experiment is the real time application of the Astar Algorithm with the localization being based only on the sensor of the Robot B. Dijkstra.csv In this experiment the full functionality of the switching system proposed in this work is highlighted. C. Cloud.csv In this experiment the localization algorithm and the path planning algorithm are always executed on the cloud. In both B,C experiments the values of each column are explained inside the Dijkstra.csv Also, two pictures of singlie vision-based self localization are included. A more detailed exposition on all of the above can be found at github link : https://github.com/maravger/alphabot-ppl

Keywords

Cloud computing, Robotics, Path planning

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