A fast and accurate recognition system for flexible grasping of electronic goods

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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.authorWoegerer, Christian
dc.contributor.authorRooker, M.
dc.contributor.authorAngerer, Alfred
dc.contributor.authorKopf, Ch.
dc.contributor.authorPichler, A.
dc.date.accessioned2022-07-08T15:47:26Z
dc.date.available2022-07-08T15:47:26Z
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.abstractAutomated packaging is becoming more and more interesting for various production sites even in Europe. However, in many companies the packaging process can only handle a limited amount of products. This leads to a very inflexible packaging and a bottle neck in the production. Most of the time for new products, the packaging system needs to be modified. One of the main components in an automated packaging process is the recognition and then the grasping of the objects that need to be packed. For different products mostly a different gripping system is required. In this paper, solutions from a research project are presented which enables the recognizing as a basis for flexible grasping of different products. These solutions includes a flexible pose recognition for different objects by a low cost system based on Kinect or or Asus Xtion cameras.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0103
dc.identifier.urihttps://hdl.handle.net/20.500.12588/946
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectPackaging
dc.subjectRobots--Kinematics
dc.titleA fast and accurate recognition system for flexible grasping of electronic goods
dc.typeArticle

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