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Titre du document / Document title

Assembly automation with evolutionary nanorobots and sensor-based control applied to nanomedicine

Auteur(s) / Author(s)

CAVALCANTI Adriano (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Fraunhofer Institute for Computer Graphics, 64283 Darmstadt, ALLEMAGNE

Résumé / Abstract

The author presents a new approach within advanced graphics simulations for the problem of nano-assembly automation and its application for medicine. The problem under study concentrates its main focus on nanorobot control design for assembly manipulation and the use of evolutionary competitive agents as a suitable way to warranty the robustness on the proposed model. Thereby the presented paper summarizes as well distinct aspects of some techniques required to achieve a successful nano-planning system design and its simulation visualization in real time.

Revue / Journal Title

IEEE transactions on nanotechnology    ISSN  1536-125X 

Source / Source

2003, vol. 2, no2, pp. 82-87 [6 page(s) (article)] (28 ref.)

Langue / Language

Anglais

Editeur / Publisher

Institute of Electrical and Electronics Engineers, New York, NY, ETATS-UNIS  (2002) (Revue)

Mots-clés anglais / English Keywords

Genetic algorithm

;

Virtual reality

;

Robustness

;

Moving robot

;

Nanotechnology

;

Miniaturization

;

Robotics

;

Drug dispensation

;

Medical application

;

Human

;

Mots-clés français / French Keywords

Algorithme génétique

;

Réalité virtuelle

;

Robustesse

;

Robot mobile

;

Nanotechnologie

;

Miniaturisation

;

Robotique

;

Dispensation médicament

;

Application médicale

;

Homme

;

Mots-clés espagnols / Spanish Keywords

Algoritmo genético

;

Realidad virtual

;

Robustez

;

Robot móvil

;

Nanotecnología

;

Miniaturización

;

Robótica

;

Dispensación medicamento

;

Aplicación medical

;

Hombre

;

Localisation / Location

INIST-CNRS, Cote INIST : 27310, 35400011846863.0030

Nº notice refdoc (ud4) : 14891492



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