Repository logo
 
Publication

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

dc.contributor.authorMendes, Pedro Henrique Ferreira
dc.contributor.authorMendes, Andre C.
dc.contributor.authorDuarte, Luis F.C.
dc.date.accessioned2024-01-15T17:28:50Z
dc.date.available2024-01-15T17:28:50Z
dc.date.issued2022
dc.description.abstractSensing 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.pt_PT
dc.description.sponsorshipThe 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMendes, 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 978-1-6654-6047-7pt_PT
dc.identifier.doi10.1109/STCR55312.2022.10009315pt_PT
dc.identifier.isbn978-1-6654-6047-7
dc.identifier.urihttp://hdl.handle.net/10198/29215
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAutonomous mobile robotpt_PT
dc.subjectWireless sensor networkpt_PT
dc.subjectRobot operating systempt_PT
dc.subjectGazebo simulatorpt_PT
dc.subjectTurtleBot3pt_PT
dc.titleIntegration of ROS navigation stack with dynamic environment information in gazebo simulationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage5pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2022 Smart Technologies, Communication and Robotics (STCR)pt_PT
person.familyNameMendes
person.givenNameAndre C.
person.identifier.ciencia-id6718-7AE9-0953
person.identifier.orcid0000-0001-6390-1250
person.identifier.scopus-author-id54920397900
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication469e664f-f0ce-4ccf-a00d-21c086996765
relation.isAuthorOfPublication.latestForDiscovery469e664f-f0ce-4ccf-a00d-21c086996765

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Integration_of_ROS_Navigation.pdf
Size:
1.31 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: