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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29357
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dc.contributor.authorNoh, Y-
dc.contributor.authorUpare, H-
dc.contributor.authorOsman, D-
dc.contributor.authorLi, W-
dc.coverage.spatialOsaka, Japan-
dc.date.accessioned2024-07-15T11:35:33Z-
dc.date.available2024-07-15T11:35:33Z-
dc.date.issued2024-07-22-
dc.identifierORCiD: Yohan Noh https://orcid.org/0000-0002-1103-6397-
dc.identifier.citationNoh, Y. et al. (2024) 'Gel-OPTOFORT Sensor: Multi-axis Force/Torque Measurement and Geometry Observation Using GelSight and Optoelectronic Sensor Technology', Proceedings of the 42nd annual conference of the Robotics Society of Japan, Osaka, Japan, 3-6 September, pp. 1 - 4. doi: 10.48550/arXiv.2407.16082.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29357-
dc.descriptionA preprint version of this conference paper is available at: arXiv:2407.16082v1 [cs.RO], https://arxiv.org/abs/2407.16082 . It has not been certified by peer review.en_US
dc.description.abstractAlthough conventional GelSight-based tactile and force/torque sensors excel in detecting objects' geometry and texture information while simultaneously sensing multi-axis forces, their performance is limited by the camera's lower frame rates and the inherent properties of the elastomer. These limitations restrict their ability to measure higher force ranges at high sampling frequencies. Besides, due to the coupling of the Gelsight sensor unit and multi-axis force/torque unit structurally, the force/torque measurement ranges of the Gelsight-based force/torque sensors are not adjustable. To address these weaknesses, this paper proposes the GEL-OPTOFORT sensor that combines a GelSight sensor and an optoelectronic sensor-based force/torque sensor.en_US
dc.description.sponsorshipBrunel University London; Great Britain Sasakawa Foundation.en_US
dc.format.extent1 - 4-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherRobotics Society of Japanen_US
dc.relation.urihttps://www.rsj.or.jp/en/event/acrsj/-
dc.relation.urihttps://ac.rsj-web.org/2024/-
dc.relation.urihttps://arxiv.org/abs/2407.16082-
dc.rightsCopyright © 2024 一 般社団法人日本ロボット学会 The Authors / Robotics Society of Japan. All Rights Reserved. Yohan Noh, Harshal Upare, Dalia Osman, Wanlin Li, Gel-OPTOFORT Sensor: Multi-axis Force/Torque Measurement and Geometry Observation Using GelSight and Optoelectronic Sensor Technology, the 42nd Annual Conference of the Robotics Society of Japan, 3 – 6 Sep 2024, Personal use of this material is permitted. Permission from the Robotics Society of Japan must be obtained for all other users, 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 components of this work in other works. This is a self‐archived copy of the submitted version of the above paper. There are minor differences between this and the published version.-
dc.rights.urihttps://arxiv.org/licenses/nonexclusive-distrib/1.0/license.html-
dc.sourceThe 42nd annual conference of the Robotics Society of Japan-
dc.sourceThe 42nd annual conference of the Robotics Society of Japan-
dc.titleGel-OPTOFORT Sensor: Multi-axis Force/Torque Measurement and Geometry Observation Using GelSight and Optoelectronic Sensor Technologyen_US
dc.typeConference Paperen_US
dc.date.dateAccepted2024-07-12-
dc.identifier.doihttps://doi.org/10.48550/arXiv.2407.16082-
pubs.finish-date2024-09-06-
pubs.finish-date2024-09-06-
pubs.publication-statusPublished online-
pubs.start-date2024-09-03-
pubs.start-date2024-09-03-
dc.rights.holderThe Authors / Robotics Society of Japan-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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FullText.pdfCopyright © 2024 一 般社団法人日本ロボット学会 The Authors / Robotics Society of Japan. All Rights Reserved. Yohan Noh, Harshal Upare, Dalia Osman, Wanlin Li, Gel-OPTOFORT Sensor: Multi-axis Force/Torque Measurement and Geometry Observation Using GelSight and Optoelectronic Sensor Technology, the 42nd Annual Conference of the Robotics Society of Japan, 3 – 6 Sep 2024, Personal use of this material is permitted. Permission from the Robotics Society of Japan must be obtained for all other users, 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 components of this work in other works. This is a self‐archived copy of the submitted version of the above paper. There are minor differences between this and the published version.1.6 MBAdobe PDFView/Open
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