Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics

This thesis proposes a hybrid charging station for autonomous robots using real time kinematics. In this project, solar panels are connected with battery energy storage through a solar charger inverter to supply power for charging an autonomous robot and providing power for other peripherals in the...

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Detalles Bibliográficos
Autor: Otoo, Linda
Tipo de recurso: tesis de maestría
Fecha de publicación:2024
País:España
Institución:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:inglés
OAI Identifier:oai:digibuo.uniovi.es:10651/74022
Acceso en línea:https://hdl.handle.net/10651/74022
Access Level:acceso abierto
Palabra clave:Hybrid Charging Station
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spelling Hybrid Charging Station for Autonomous Robot Using Real Time KinematicsOtoo, LindaHybrid Charging StationThis thesis proposes a hybrid charging station for autonomous robots using real time kinematics. In this project, solar panels are connected with battery energy storage through a solar charger inverter to supply power for charging an autonomous robot and providing power for other peripherals in the charging station. RTKsimple developer kit was connected to the station to ensure easier tracking of the station by the robot. Artificial intelligence tool (Nvidia Jetson Nano) was implemented to regulate a debugging board (using Altium designer) for light indications for charging status of the robot battery. Experiment was done with the programmed AI tool connected to the debugging board for verification.García García, JorgeHolassian Mucci, Jose María20242024-07-26master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesishttps://hdl.handle.net/10651/74022reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:digibuo.uniovi.es:10651/740222026-06-07T06:38:51Z
dc.title.none.fl_str_mv Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
title Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
spellingShingle Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
Otoo, Linda
Hybrid Charging Station
title_short Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
title_full Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
title_fullStr Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
title_full_unstemmed Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
title_sort Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics
dc.creator.none.fl_str_mv Otoo, Linda
author Otoo, Linda
author_facet Otoo, Linda
author_role author
dc.contributor.none.fl_str_mv García García, Jorge
Holassian Mucci, Jose María
dc.subject.none.fl_str_mv Hybrid Charging Station
topic Hybrid Charging Station
description This thesis proposes a hybrid charging station for autonomous robots using real time kinematics. In this project, solar panels are connected with battery energy storage through a solar charger inverter to supply power for charging an autonomous robot and providing power for other peripherals in the charging station. RTKsimple developer kit was connected to the station to ensure easier tracking of the station by the robot. Artificial intelligence tool (Nvidia Jetson Nano) was implemented to regulate a debugging board (using Altium designer) for light indications for charging status of the robot battery. Experiment was done with the programmed AI tool connected to the debugging board for verification.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-07-26
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/10651/74022
url https://hdl.handle.net/10651/74022
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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