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Using Machine Learning Approaches to Localization in an Embedded System on Robotatfactory 4.0 Competition: A Case Study

AuthID
P-00Y-DQT

Author(s)

Klein, LC

Braun, J

Martins, FN

Wortche, H

de Oliveira, AS

Mendes, J

Pinto, VH

Costa, P

Lima, J

Editor(s)

Lopes,AC;Pires,G;Pinto,VH;Lima,JL;Fonseca,P

Document Type

Proceedings Paper

Year published

2023

Published

in 2023 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC in IEEE International Conference on Autonomous Robot Systems and Competitions ICARSC, ISSN: 2573-9360

Pages: 69-74 (6)

Conference

Ieee International Conference on Autonomous Robot Systems and Competitions (Icarsc), Date: APR 26-27, 2023, Location: Tomar, PORTUGAL

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Metadata
Sources

Publication Identifiers

DOI: 10.1109/icarsc58346.2023.10129619

SCOPUS: 2-s2.0-85162059491

Wos: WOS:001011040500043

Source Identifiers

ISSN: 2573-9360

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Using Machine Learning Approaches to Localization in an Embedded System on Robotatfactory 4.0 Competition: A Case Study

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