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dc.contributor.advisorSilaghi, Marius C.
dc.contributor.authorFindling, Timothy Karl
dc.date.accessioned2016-09-30T20:01:41Z
dc.date.available2016-09-30T20:01:41Z
dc.date.issued2016-12
dc.identifier.urihttp://hdl.handle.net/11141/1070
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2016en_US
dc.description.abstractApplications such like soldering require robot arms to follow the soldering line as present on a surface. We assume here that the surface to be soldered is remote from the robotic arm, that the soldering is performed via a laser beam, and that the line to be followed can be a curve that may self-intersect (e.g. a crack in the material). We describe research conducted using a robotic arm pointing a laser for tracing a remote line on a smooth surface. The image of the line is converted to a one pixel width skeleton line generated from images using a hit-and miss algorithm. The robotic arm guides the laser dot along a series of target positions based on a set of processed line segments. A camera is used to validate and correct the movement of the robotic laser arm by measuring position accuracy. The results show that the robotic arm successfully traced the lines with limited error.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCC BY Creative Commons with Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en_US
dc.titleRobotic Arm Tracing Curves Recognized by Cameraen_US
dc.typeThesisen_US
dc.date.updated2016-09-19T14:22:43Z
thesis.degree.nameMaster of Science in Computer Scienceen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.departmentComputer Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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Except where otherwise noted, this item's license is described as CC BY Creative Commons with Attribution