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

Adriano Cavalcanti

Research output: Contribution to journalArticle

60 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)82-87
Number of pages6
JournalIEEE Transactions on Nanotechnology
Volume2
Issue number2
DOIs
StatePublished - Jun 1 2003

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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