Reliable workspace monitoring in safe human-robot environment

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dc.contributor.authorMoughlbay, Amine Abou
dc.contributor.authorHerrero, Héctor
dc.contributor.authorPacheco, Raquel
dc.contributor.authorOutón, Jose Luis
dc.contributor.authorSallé, Damien
dc.contributor.editorLopez-Guede, Jose Manuel
dc.contributor.editorHerrero, Alvaro
dc.contributor.editorQuintian, Hector
dc.contributor.editorGrana, Manuel
dc.contributor.editorEtxaniz, Oier
dc.contributor.editorCorchado, Emilio
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionROBOTICA_FLEX
dc.date.accessioned2024-07-24T11:49:27Z
dc.date.available2024-07-24T11:49:27Z
dc.date.issued2017
dc.descriptionPublisher Copyright: © Springer International Publishing AG 2017.
dc.description.abstractThe implementation of a reliable vision system for full perception of the human-robot environment is a key issue for the flexible collaborative production industries, especially for the frequently changing applications. The use of such system facilitates the perception and recognition of the human activity, and consequently highly increases the robustness and reactivity of safety strategies in collaborative tasks. This paper presents an implementation of several techniques for workspace monitoring in collaborative human-robot applications. A reliable perception of the overall environment is performed to generate a consistent point cloud which is used for human detection and tracking. Additionally, safety strategies on the robotic system (reduced velocity, emergency stop, .) are activated when the human-robot distance approaches predefined security thresholds.en
dc.description.sponsorshipThe research leading to these results has been funded in part by the European Union’s seventh framework program (FP7/2007-2013) under grant agreements #608604 (LIAA: Lean Intelligent Assembly Automation).
dc.description.statusPeer reviewed
dc.format.extent11
dc.identifier.citationMoughlbay , A A , Herrero , H , Pacheco , R , Outón , J L & Sallé , D 2017 , Reliable workspace monitoring in safe human-robot environment . in J M Lopez-Guede , A Herrero , H Quintian , M Grana , O Etxaniz & E Corchado (eds) , International Joint Conference, SOCO 2016-CISIS 2016-ICEUTE 2016, Proceedings . Advances in Intelligent Systems and Computing , vol. 527 , Springer Verlag , pp. 256-266 , International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2016, International Conference on Computational Intelligence in Security for Information Systems, CISIS 2016 and International Conference on European Transnational Education, ICEUTE 2016 , San Sebastian , Spain , 19/10/16 . https://doi.org/10.1007/978-3-319-47364-2_25
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-319-47364-2_25
dc.identifier.isbn9783319473635
dc.identifier.issn2194-5357
dc.identifier.urihttps://hdl.handle.net/11556/1873
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84992461107&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofInternational Joint Conference, SOCO 2016-CISIS 2016-ICEUTE 2016, Proceedings
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing
dc.relation.projectIDSeventh Framework Programme, FP7, 608604-FP7/2007-2013
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsHuman detection
dc.subject.keywordsHuman-robot collaboration
dc.subject.keywordsPoint cloud fusion
dc.subject.keywordsSafety strategies
dc.subject.keywordsWorkspace monitoring
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsGeneral Computer Science
dc.titleReliable workspace monitoring in safe human-robot environmenten
dc.typeconference output
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