The 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.
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ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 28–October 2, 2004
Salt Lake City, Utah, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-4695-4
PROCEEDINGS PAPER
Nanorobotics Control Design: A Practical Approach Tutorial Available to Purchase
Adriano Cavalcanti,
Adriano Cavalcanti
University of Campinas, Campinas, SP, Brazil
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Robert A. Freitas, Jr.,
Robert A. Freitas, Jr.
Institute for Molecular Manufacturing, Palo Alto, CA
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Luiz C. Kretly
Luiz C. Kretly
University of Campinas, Campinas, SP, Brazil
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Adriano Cavalcanti
University of Campinas, Campinas, SP, Brazil
Robert A. Freitas, Jr.
Institute for Molecular Manufacturing, Palo Alto, CA
Luiz C. Kretly
University of Campinas, Campinas, SP, Brazil
Paper No:
DETC2004-57031, pp. 95-104; 10 pages
Published Online:
June 27, 2008
Citation
Cavalcanti, A, Freitas, RA, Jr., & Kretly, LC. "Nanorobotics Control Design: A Practical Approach Tutorial." Proceedings of the ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 28th Biennial Mechanisms and Robotics Conference, Parts A and B. Salt Lake City, Utah, USA. September 28–October 2, 2004. pp. 95-104. ASME. https://doi.org/10.1115/DETC2004-57031
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