Adaptive robotic control in cloud environments

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dc.contributorInternational FAIM Conference 24th : 2014 : San Antonio, Texas
dc.contributorUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean Systems
dc.contributor.authorAdamson, Goran
dc.contributor.authorWang, Lihui, 1959-
dc.contributor.authorHolm, Magnus
dc.contributor.authorMoore, Philip
dc.date.accessioned2022-07-08T15:47:27Z
dc.date.available2022-07-08T15:47:27Z
dc.date.issued2014
dc.descriptionPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
dc.descriptionIncludes bibliographical references
dc.description.abstractMany of the applications in the 3D printing market have been for manufacturing prototypes in an inexpensive and relatively fast manner. Today, 3D printers make this possible by no longer having to use third party manufacturers. For all of the purposes that 3D printing is used, many of them, such as 3D geographic maps, visual art, model support structures, dioramas, prototypes, do not require a high precession. Furthermore, for such applications, there is no need for permanent prints. Due to the advancements in technology, and its residual pollution from waste, there is a need for a ‘greener’ method to 3-D printing. To meet this demand, we propose MIRV (Mechanically Interchangeable and Reusable Voxels), for voxel-based printing, a new method for 3-D printing. MIRV uses pre-built volumetric elements to build 3-D objects, by employing specially designed reusable and interchangeable building elements in voxel-based printing. When there is no longer need for the printed object, the object can be disassembled and the parts reused. This eliminates any wasted material. Meanwhile, all building elements of each layer are displaced in one simultaneous motion. Thus, the overall time to build a print can be significantly reduced compared to other 3D printing technologies.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0037
dc.identifier.urihttps://hdl.handle.net/20.500.12588/951
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectManufacturing processes--Automation
dc.subjectRobots--Control systems
dc.subjectCAD/CAM systems
dc.subjectCloud computing
dc.titleAdaptive robotic control in cloud environments
dc.typeArticle

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