REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation

Bibliographic Details
Main Author: Mendes, Pedro Henrique Ferreira
Publication Date: 2022
Other Authors: Mendes, Andre C., Duarte, Luis F.C.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10198/29264
Summary: Sensing the environment is a crucial task that robots have to perform to navigate autonomously. Furthermore, it must be well executed to make navigation safer and collision- free. As autonomous mobile robots are being deployed in several applications, they often encounter dynamic habitats, where sensing and perceiving the environment becomes harder. This work proposes integrating a wireless sensor network with the Robotic Operating System to incorporate data into layered costmaps used by the robot to navigate, feeding the algorithms with advanced information about the territory. The architecture was tested in simulation, where we could validate the structure and collect data showing improved paths calculated and reduced computational load through better parametrization. Thus, this strategy ensures that the advanced information about the environment has improved the navigation process.
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spelling REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulationAutonomous mobile robotWireless sensor networkRobot operating systemGazebo simulatorTurtleBot3Sensing the environment is a crucial task that robots have to perform to navigate autonomously. Furthermore, it must be well executed to make navigation safer and collision- free. As autonomous mobile robots are being deployed in several applications, they often encounter dynamic habitats, where sensing and perceiving the environment becomes harder. This work proposes integrating a wireless sensor network with the Robotic Operating System to incorporate data into layered costmaps used by the robot to navigate, feeding the algorithms with advanced information about the territory. The architecture was tested in simulation, where we could validate the structure and collect data showing improved paths calculated and reduced computational load through better parametrization. Thus, this strategy ensures that the advanced information about the environment has improved the navigation process.The authors are grateful to the Research Centre in Digitalization and Intelligent Robotics (CeDRI) for sharing its facilities and material, and also to the Foundation for Science and Technology (FCT, Portugal) for financial support as mentioned earlier.IEEEBiblioteca Digital do IPBMendes, Pedro Henrique FerreiraMendes, Andre C.Duarte, Luis F.C.2024-01-18T11:35:41Z20222022-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/29264engMendes, Pedro Henrique Ferreira; Mendes, Andre C.; Duarte, Luis F.C. (2022). Integration of ROS navigation stack with dynamic environment information in gazebo simulation. In 2022 Smart Technologies, Communication and Robotics (STCR). p. 1-5. ISBN 978-1-6654-6047-7978-1-6654-6047-710.1109/STCR55312.2022.10009315info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:20:49Zoai:bibliotecadigital.ipb.pt:10198/29264Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:33:09.788460Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
title REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
spellingShingle REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
Mendes, Pedro Henrique Ferreira
Autonomous mobile robot
Wireless sensor network
Robot operating system
Gazebo simulator
TurtleBot3
title_short REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
title_full REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
title_fullStr REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
title_full_unstemmed REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
title_sort REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
author Mendes, Pedro Henrique Ferreira
author_facet Mendes, Pedro Henrique Ferreira
Mendes, Andre C.
Duarte, Luis F.C.
author_role author
author2 Mendes, Andre C.
Duarte, Luis F.C.
author2_role author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Mendes, Pedro Henrique Ferreira
Mendes, Andre C.
Duarte, Luis F.C.
dc.subject.por.fl_str_mv Autonomous mobile robot
Wireless sensor network
Robot operating system
Gazebo simulator
TurtleBot3
topic Autonomous mobile robot
Wireless sensor network
Robot operating system
Gazebo simulator
TurtleBot3
description Sensing the environment is a crucial task that robots have to perform to navigate autonomously. Furthermore, it must be well executed to make navigation safer and collision- free. As autonomous mobile robots are being deployed in several applications, they often encounter dynamic habitats, where sensing and perceiving the environment becomes harder. This work proposes integrating a wireless sensor network with the Robotic Operating System to incorporate data into layered costmaps used by the robot to navigate, feeding the algorithms with advanced information about the territory. The architecture was tested in simulation, where we could validate the structure and collect data showing improved paths calculated and reduced computational load through better parametrization. Thus, this strategy ensures that the advanced information about the environment has improved the navigation process.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2024-01-18T11:35:41Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/29264
url http://hdl.handle.net/10198/29264
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Mendes, Pedro Henrique Ferreira; Mendes, Andre C.; Duarte, Luis F.C. (2022). Integration of ROS navigation stack with dynamic environment information in gazebo simulation. In 2022 Smart Technologies, Communication and Robotics (STCR). p. 1-5. ISBN 978-1-6654-6047-7
978-1-6654-6047-7
10.1109/STCR55312.2022.10009315
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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