dc.creatorCavalcanti A.
dc.creatorFreitas Jr. R.A.
dc.creatorKretly L.C.
dc.date2004
dc.date2015-06-26T14:25:26Z
dc.date2015-11-26T14:15:06Z
dc.date2015-06-26T14:25:26Z
dc.date2015-11-26T14:15:06Z
dc.date.accessioned2018-03-28T21:15:58Z
dc.date.available2018-03-28T21:15:58Z
dc.identifier
dc.identifierProceedings Of The Asme Design Engineering Technical Conference. , v. 2:00 AM, n. , p. 95 - 104, 2004.
dc.identifier
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-14044267007&partnerID=40&md5=582f6339ccb81ebbc928e1a5df6101ee
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/94757
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/94757
dc.identifier2-s2.0-14044267007
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1242703
dc.descriptionThe authors present a new approach using genetic algorithms, neural networks and nanorobotics concepts applied to the problem of control design for nanoassembly automation and its application in medicine. As a practical approach to validate the proposed design, we have elaborated and simulated a virtual environment focused on control automation for nanorobotics teams that exhibit collective behavior. This collective behavior is a suitable way to perform a large range of tasks and positional assembly manipulation in a complex 3D workspace. We emphasize the application of such techniques as a feasible approach for the investigation of nanorobotics system design in nanomedicine. Theoretical and practical analyses of control modelling is one important aspect that will enable rapid development in the emerging field of nanotechnology.
dc.description2:00 AM
dc.description
dc.description95
dc.description104
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dc.languageen
dc.publisher
dc.relationProceedings of the ASME Design Engineering Technical Conference
dc.rightsfechado
dc.sourceScopus
dc.titleNanorobotics Control Design: A Practical Approach Tutorial
dc.typeActas de congresos


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