Proposal of a new model for social navigation based on extraction of social contexts from ontology in service robots

dc.contributor.authorPIMENTEL, F.
dc.contributor.authorPlinio Thomaz Aquino Junior
dc.date.accessioned2022-01-12T21:56:05Z
dc.date.available2022-01-12T21:56:05Z
dc.date.issued2019-10-05
dc.description.abstract© 2019 IEEE.With the growing presence of service robots in social environments, research into the development of social behavior in robots is becoming increasingly necessary. Service robotics and social navigation are research areas that have been growing in recent years. However, helping humans with everyday tasks as well as people who need special attention, the elderly and children are still challenging issues in both the domestic and commercial environments. In this paper we present the current problem of social navigation in service robots, a state-of-the-art review of social navigation models, and we propose a new social navigation model using context extraction from ontology. This is expected to improve both the naturalness and the sociability of the robot as well as the comfort of the human being. This project intends to use current detection and learning techniques and tools such as OpenPose, as well as semantic mapping and deep learning. Navigation experiments were performed in simulated environment and selection of a navigation method. Also started implementing people tracking using OpenPose with satisfactory preliminary results. It is hoped that with this project, we can collaborate with the field of social navigation research using ontology approach.
dc.description.firstpage144
dc.description.lastpage149
dc.identifier.citationPIMENTEL, F.; AQUINO JUNIOR, P. T. Proposal of a new model for social navigation based on extraction of social contexts from ontology in service robots. Proceedings - 2019 Latin American Robotics Symposium, 2019 Brazilian Symposium on Robotics and 2019 Workshop on Robotics in Education, LARS/SBR/WRE 2019, p. 144-149, oct. 2019.
dc.identifier.doi10.1109/LARS-SBR-WRE48964.2019.00033
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3700
dc.relation.ispartofProceedings - 2019 Latin American Robotics Symposium, 2019 Brazilian Symposium on Robotics and 2019 Workshop on Robotics in Education, LARS/SBR/WRE 2019
dc.rightsAcesso Restrito
dc.subject.otherlanguageContext
dc.subject.otherlanguageNavigation
dc.subject.otherlanguageOntology
dc.subject.otherlanguageSocial
dc.titleProposal of a new model for social navigation based on extraction of social contexts from ontology in service robots
dc.typeArtigo de evento
fei.scopus.citations1
fei.scopus.eid2-s2.0-85082175225
fei.scopus.subjectContext
fei.scopus.subjectContext extractions
fei.scopus.subjectLearning techniques
fei.scopus.subjectNavigation methods
fei.scopus.subjectSimulated environment
fei.scopus.subjectSocial
fei.scopus.subjectSocial environment
fei.scopus.subjectState-of-the art reviews
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082175225&origin=inward
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