Show simple item record

dc.contributor.authorDeyle, Travisen_US
dc.contributor.authorTralie, Christopher J.en_US
dc.contributor.authorReynolds, Matthew S.en_US
dc.contributor.authorKemp, Charles C.en_US
dc.date.accessioned2013-12-19T15:22:27Z
dc.date.available2013-12-19T15:22:27Z
dc.date.issued2013-05
dc.identifier.citationIn-Hand Radio Frequency Identification (RFID) for Robotic Manipulation, Travis Deyle, Christopher Tralie, Matthew Reynolds, and Charles C. Kemp, IEEE International Conference on Robotics and Automation (ICRA), 2013, 1234-1241.en_US
dc.identifier.isbn978-1-4673-5641-1
dc.identifier.issn1050-4729
dc.identifier.urihttp://hdl.handle.net/1853/49851
dc.description©2013 IEEE. Personal use of this material is permitted. Permission from IEEE 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.en_US
dc.descriptionPresented at the 2013 IEEE International Conference on Robotics and Automation (ICRA) Karlsruhe, Germany, May 6-10, 2013.en_US
dc.descriptionDOI: 10.1109/ICRA.2013.6630729en_US
dc.description.abstractWe present a unique multi-antenna RFID reader (a sensor) embedded in a robot's manipulator that is designed to operate with ordinary UHF RFID tags in a short-range, near-field electromagnetic regime. Using specially designed near-field antennas enables our sensor to obtain spatial information from tags at ranges of less than 1 meter. In this work, we characterize the near-field sensor's ability to detect tagged objects in the robots manipulator, present robot behaviors to determine the identity of a grasped object, and investigate how additional RF signal properties can be used for “pre-touch” capabilities such as servoing to grasp an object. The future combination of long-range (far-field) and short-range (near-field) UHF RFID sensing has the potential to enable roboticists to jump-start applications by obviating or supplementing false-positive-prone visual object recognition. These techniques may be especially useful in the healthcare and service sectors, where mis-identification of an object (for example, a medication bottle) could have catastrophic consequences.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectIn-hand radio frequency identificationen_US
dc.subjectRFIDen_US
dc.subjectRobotic manipulationen_US
dc.subjectVisual object recognitionen_US
dc.subjectHealthcare roboticsen_US
dc.titleIn-Hand Radio Frequency Identification (RFID) for Robotic Manipulationen_US
dc.typeProceedingsen_US
dc.typePost-printen_US
dc.contributor.corporatenameDuke University. Dept. of Electrical and Computer Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Healthcare Robotics Laben_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machinesen_US
dc.publisher.originalInstitute of Electrical and Electronics Engineersen_US
dc.identifier.doi10.1109/ICRA.2013.6630729


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record