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

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1 Author(s)
Cavalcanti, A. ; Fraunhofer Inst. for Comput. Graphics, Darmstadt, Germany

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.

Published in:
Nanotechnology, IEEE Transactions on  (Volume:2 ,  Issue: 2 )

Date of Publication: June 2003

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