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dc.contributor.advisorDaniela Rus.en_US
dc.contributor.authorFaulkner, Matthew Nen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-05-09T15:30:21Z
dc.date.available2011-05-09T15:30:21Z
dc.date.copyright2011en_US
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/62753
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.description.abstractWe developed an instrumented tool system comprised of wireless nodes and sensor systems to facilitate distributed robotic assembly tasks. This robotic system was deployed on two separate robotic assembly scenarios: one scenario used programmable autonomous beacons to facilitate precise localization of an assembly robot within a mock airplane wing, while the second used programmable assembly components to simplify sensing and coordination in a distributed, multi-robot assembly task. An instrumented tool system comprised of two types of programmable nodes (beacons and assembly components) and two types of robot-mounted sensors was designed, implemented, and tested. On-board microprocessors allow each element of the system to perform sensing and communicate over an infrared communication protocol. Algorithms for sensing and distributed communication were developed to perform local sensing tasks between assembly robots and instrumented materials.en_US
dc.description.statementofresponsibilityby Matthew N. Faulkner.en_US
dc.format.extent220 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleInstrumented tools and objects : design, algorithms, and applications to assembly tasksen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc717638127en_US


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