REPETIDO - Integration of ROS navigation stack with dynamic environment information in gazebo simulation
Main Author: | |
---|---|
Publication Date: | 2022 |
Other Authors: | , |
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. |
id |
RCAP_8e844947aeac43b2ebfd71ca6469adc7 |
---|---|
oai_identifier_str |
oai:bibliotecadigital.ipb.pt:10198/29264 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
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) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833592917705359360 |