Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study-Reference-Cited by-同舟云学术

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

Published:2023-04-26 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
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Author:

Klein Luan C.¹,Braun João²,Martins Felipe N.³,Wörtche Heinrich³,de Oliveira Andre Schneider¹,Mendes João²,Pinto Vítor H.⁴,Costa Paulo⁴,Lima José²

Affiliation:

1. Universidade Tecnológica Federal do Paraná,Campus Curitiba, UTFPR/PR,Brasil

2. Instituto Politécnico de Braganca,Research Centre in Digitalization and Intelligent Robotics (CeDRI),Campus de Santa Apolonia,Portugal

3. Hanze University of Applied Sciences,Institute of Engineering,Sensors and Smart Systems Group,The Netherlands

4. Faculty of Engineering of University of Porto,Portugal

Publisher

IEEE

Link

Reference20 articles.

1. Calculating the perfect match: an efficient and accurate approach for robot self-localization;lauer;RoboCup-2005 Robot Soccer World Cup IX,0

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