Nanorobotics control design: A practical approach tutorial

Adriano Cavalcanti; Robert A. Freitas; Luiz C. Kretly

doi:10.1115/detc2004-57031

Nanorobotics control design: A practical approach tutorial

Adriano Cavalcanti, Robert A. Freitas, Luiz C. Kretly

School of Engineering (Behrend)

Research output: Contribution to conference › Paper › peer-review

9 Scopus citations

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 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.

Original language	English (US)
Pages	95-104
Number of pages	10
DOIs	https://doi.org/10.1115/detc2004-57031
State	Published - 2004
Event	2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - Salt Lake City, UT, United States Duration: Sep 28 2004 → Oct 2 2004

Other

Other	2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Country/Territory	United States
City	Salt Lake City, UT
Period	9/28/04 → 10/2/04

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Mechanical Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

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10.1115/detc2004-57031

Cite this

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title = "Nanorobotics control design: A practical approach tutorial",

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 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.",

author = "Adriano Cavalcanti and Freitas, {Robert A.} and Kretly, {Luiz C.}",

year = "2004",

doi = "10.1115/detc2004-57031",

language = "English (US)",

pages = "95--104",

note = "2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference ; Conference date: 28-09-2004 Through 02-10-2004",

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T1 - Nanorobotics control design

T2 - 2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference

AU - Cavalcanti, Adriano

AU - Freitas, Robert A.

AU - Kretly, Luiz C.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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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DO - 10.1115/detc2004-57031

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Y2 - 28 September 2004 through 2 October 2004

ER -

Nanorobotics control design: A practical approach tutorial

Abstract

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All Science Journal Classification (ASJC) codes

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