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Nanorobotics control design: a collective behavior approach for medicine.

Abstract

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 three-dimensional 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 modeling is one important aspect that will enable rapid development in the emerging field of nanotechnology.

Authors+Show Affiliations

,

Computational Nanomechatronics Lab, Center for Automation in Nanobiotech, Sao Paulo SP 01540-000, Brazil. adrianocavalcanti@canbiotechnems.com

Source

MeSH

Algorithms
Biomedical Engineering
Computer Simulation
Computer-Aided Design
Cooperative Behavior
Equipment Design
Equipment Failure Analysis
Feedback
Micromanipulation
Models, Theoretical
Nanotechnology
Robotics

Pub Type(s)

Journal Article

Language

eng

PubMed ID

16117021