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dc.contributor.authorDegeorges, Théo
dc.contributor.authorSziebig, Gabor
dc.date.accessioned2021-11-16T09:35:56Z
dc.date.available2021-11-16T09:35:56Z
dc.date.created2021-11-11T16:06:22Z
dc.date.issued2021
dc.identifier.issn2163-5145
dc.identifier.urihttps://hdl.handle.net/11250/2829764
dc.description.abstractHigh payload industrial robots, unlike collaborative robots are not designed to work together with humans. Collaboration can only happen in situations, where the human and robot is separated with a distance, which allows safety sensors to stop the robot system in any point if the human is in too close proximity of the robot. Safety sensors cannot decide over risks, consequences, neither any counter measures to prevent undesired outcome (e.g. collision between human and robot). Safety sensors are only reacting on proximity and can only give severity signal to the robotic system (e.g. no human, slow speed, full stop). This paper presents a new way to address safety sensors: voxel based, dynamic, collision state-space monitoring for human-robot collaboration with high payload robots. The general architecture and some initial test are presented, along with introduction of the problem statement.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9576407
dc.titleHuman-Robot Collaboration: Safety by Designen_US
dc.typeJournal articleen_US
dc.description.versionsubmittedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.source.journalProceedings of the IEEE International Symposium on Industrial Electronicsen_US
dc.identifier.doi10.1109/ISIE45552.2021.9576407
dc.identifier.cristin1953789
dc.relation.projectNorges forskningsråd: 237900en_US
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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