Repository logo
 
Publication

FLOOR - Forklift laser omnidirectional robot

2023Conference paper Open access
Simple item page
dc.contributor.authorPinto, Vítor H.
dc.contributor.authorRibeiro, Francisco M.
dc.contributor.authorBrito, Thadeu
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLima, José
dc.contributor.authorCosta, Paulo Gomes da
dc.date.accessioned2021-10-26T09:38:10Z
dc.date.available2021-10-26T09:38:10Z
dc.date.issued2023
dc.description.abstractThe robot presented in this paper was developed with the main focus on participating in robotic competitions. Therefore, the subsystems here presented were developed taking into account performance criteria instead of simplicity. Nonetheless, this paper also presents background knowledge in some basic concepts regarding robot localization, navigation, color identification and control, all of which are key for a more competitive robot.pt_PT
dc.description.sponsorshipThe authors acknowledge the support of R&D Unit SYSTEC Base (UIDB/00147/2020) and Programmatic (UIDP/00147/2020) and the ARISE Associated Laboratory (LA/P/0112/2020), as well as the support of projects: Warehouse of the Future (WoF), with reference POCI- 01-0247-FEDER-072638, co-funded by FEDER, through COMPETE 2020 and NORTE-01-0247-FEDER-072598 iSafety: Intelligent system for occupational safety and well-being in the retail sector.
dc.identifier.citationPinto, Vítor H.; Ribeiro, Francisco M.; Brito, Thadeu; Pereira, Ana I.; Lima, José; Costa, Paulo (2023). FLOOR - Forklift laser omnidirectional robot. In IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). Tomar, Portugal – April 26-27, 2023. eISSN 2573-9387. p. 245-250pt_PT
dc.identifier.doi10.1109/ICARSC58346.2023.10129586
dc.identifier.eissn2573-9387
dc.identifier.issn2573-9360
dc.identifier.urihttp://hdl.handle.net/10198/24103
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRobotic platformpt_PT
dc.subjectRobotic competitionpt_PT
dc.subjectSensors
dc.subjectActuators
dc.subjectLocalization
dc.subjectNavigation
dc.titleFLOOR - Forklift laser omnidirectional robotpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.titleIEEE International Conference on Autonomous Robot Systems and Competitions ICARSCpt_PT
person.familyNameBrito
person.familyNamePereira
person.familyNameLima
person.givenNameThadeu
person.givenNameAna I.
person.givenNameJosé
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc8641c9a-a994-4ab2-836d-c758c0e44cc9
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
FLOOR_Forklift_Laser_OmnidirectiOnal_Robot.pdf
Size:
7.12 MB
Format:
Adobe Portable Document Format
Download

Collections

ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus