Neural motion and evolutionary decision in robotic competition applied for molecular machine system design

A. Cavalcanti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Summary form only given. The author presents a new approach within advanced graphics simulations for the problem of nano-assembly automation and its application for nanomedicine. The problem under study concentrates its main focus on the design of autonomous nanorobots for assembly manipulation and the use of evolutionary competitive agents as a suitable way to warranty the robustness of such proposed model. Furthermore, the work presents also the use of neural networks as the most practical approach for the problem of robot motion optimisation using a sensor based system. Thereby the paper addresses distinct aspects of the main techniques required to achieve a successful nano-planning system design and its simulation with a real time 3D visualization.

Original languageEnglish (US)
Title of host publication2002 IEEE International Symposium on Computer Aided Control System Design, CACSD 2002 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pagesxxv-xxxiv
ISBN (Electronic)078037388X, 9780780373884
DOIs
StatePublished - Jan 1 2002
EventIEEE International Symposium on Computer Aided Control System Design, CACSD 2002 - Glasgow, Scotland, United Kingdom
Duration: Sep 18 2002Sep 20 2002

Publication series

Name2002 IEEE International Symposium on Computer Aided Control System Design, CACSD 2002 - Proceedings

Other

OtherIEEE International Symposium on Computer Aided Control System Design, CACSD 2002
CountryUnited Kingdom
CityGlasgow, Scotland
Period9/18/029/20/02

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Neural motion and evolutionary decision in robotic competition applied for molecular machine system design'. Together they form a unique fingerprint.

  • Cite this

    Cavalcanti, A. (2002). Neural motion and evolutionary decision in robotic competition applied for molecular machine system design. In 2002 IEEE International Symposium on Computer Aided Control System Design, CACSD 2002 - Proceedings (pp. xxv-xxxiv). [1036917] (2002 IEEE International Symposium on Computer Aided Control System Design, CACSD 2002 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACSD.2002.1036917