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dc.contributor.authorDonlon, Elliott
dc.contributor.authorDong, Siyuan
dc.contributor.authorLiu, Melody
dc.contributor.authorLi, Jianhua
dc.contributor.authorAdelson, Edward H
dc.contributor.authorRodriguez Garcia, Alberto
dc.date.accessioned2020-06-03T14:43:13Z
dc.date.available2020-06-03T14:43:13Z
dc.date.issued2019-01
dc.identifier.isbn9781538680940
dc.identifier.isbn978-1-5386-8093-3
dc.identifier.issn2153-0866
dc.identifier.urihttps://hdl.handle.net/1721.1/125641
dc.description.abstractThis work describes the development of a high-resolution tactile-sensing finger for robot grasping. This finger, inspired by previous GelSight sensing techniques (Johnson and Adelson 2009), features an integration that is slimmer, more robust, and with more homogeneous output than previous vision-based tactile sensors. To achieve a compact integration, we redesign the optical path from illumination source to camera by combining light guides and an arrangement of mirror reflections. We parameterize the optical path with geometric design variables and describe the tradeoffs between the finger thickness, camera depth of field, and size of the tactile sensing area. The sensor sustains the wear from continuous use - and abuse - in grasping tasks by combining tougher materials for the compliant gel, a textured fabric skin, a structurally rigid body, and a calibration process that maintains homogeneous illumination and contrast of the tactile images during use. Finally, we evaluate the sensor's durability along four metrics that track the signal quality during more than 3000 grasping experiments. Keywords: Tactile sensors; Cameras; Three-dimensional displays; Graspingen_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/iros.2018.8593661en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleGelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Fingeren_US
dc.typeArticleen_US
dc.identifier.citationDonlon, Elliott et al. "GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger." 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018, Madrid, Spain, Institute of Electrical and Electronics Engineers (IEEE), January 2019.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journal2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-09-27T17:07:39Z
dspace.date.submission2019-09-27T17:07:42Z
mit.metadata.statusComplete


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