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Time Series Forecasting of Mobile Robot Motion Sensors Using LSTM Networks Cover

Time Series Forecasting of Mobile Robot Motion Sensors Using LSTM Networks

Applied Computer Systems
Volume 26 (2021): Issue 2 (December 2021)
By: Anete Vagale,  Luīze Šteina and  Valters Vēciņš  
Open Access
|Dec 2021

Authors

Anete Vagale

anete.vagale@ntnu.no

Norwegian University of Science and Technology, Aalesund, Norway

Luīze Šteina

luize.steina@edu.rtu.lv

LLC Robotic Solutions, Riga, Latvia

Valters Vēciņš

valters.vecins@rtu.lv

Riga Technical University, Riga, Latvia
DOI: https://doi.org/10.2478/acss-2021-0018 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 150 - 157
Published on: Dec 30, 2021
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Deep neural networks,
long short-term memory (LSTM),
mobile robot,
time series forecasting
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2021 Anete Vagale, Luīze Šteina, Valters Vēciņš, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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