Abstract
A new era on medicine are expected to happen in the coming years. Due to the
advances in the field of nanotechnology, nanodevice manufacturing has been
growing gradually. From such achievements in nanotechnology, and recent results
in biotechnology and genetics, the first operating biological nanorobots are
expected to appear in the coming 5 years, and more complex diamondoid based
nanorobots will become available in about 10 years. In terms of time it means a
very near better future with significant improvements in medicine. In this work
we present a practical approach taken on developing nanorobots for medicine in
the sense of using computational nanomechatronics techniques as ancillary tools
for investigating manufacturing design, nanosystems integration, sensing and
actuation for medicine applications. Thus the work describes pathways that could
enable design testability, but also help scientists and profit corporations in
providing the helpful information needed to test and design integrated devises
and solutions towards manufacturing biomedical nanorobots.
2. Introduction
The use of robots in surgery has provided additional tools for surgeons enabling
minimally invasive intervention or even long distance tele-operated surgeries [1].
Indeed we may trust on human creativeness and technical capabilities that can
ever be improved in terms of technical achievements [2], [3], [6]. In recent years
the medicine has enabled significant wellness for the life quality and longevity of
the world population [11]. And for the coming years, we may be prepared to
experiment even more benefits, as results from advances that are being pursued
step by step in new fields of science, such as nanobiotechnlogy [9], [13]. With
the expected miniaturization of devices provided by several works on nanoelectromechanical systems (NEMS), nanomanufacturing has actually become
a reality [12], [14].
Hence, with the NEMS recent advances on building nanodevices, and the
development of interdisciplinary works, altogether may be translated in few years
through the development of integrated nanomachines, also known as nanorobots.
With the use of techniques that are advancing rapidly, such as nano-transducers
[22], [5], and biomolecular computing [2], [13], nanorobots are expected to be
able to operate in a well defined set of behaviors performing pre-programmed
tasks [7], [4]. Thus in the coming few years, nanorobots being tele-operated to
perform surgery, or even nanorobots continually supervising the human body in
order to assist organs that may require some kind of repair, is one of the most
expected revolutionary tools for biomedical engineering problems.
The development of nanorobots is an emerging field with many aspects under
investigation. Simulation is an essential tool for exploring alternatives in the
organization, configuration, motion planning, and control of nanomachines
exploring the human body. The work we have been done concentrates its main
focus on developing nanorobot control and design applied to nanomedicine.
Nanorobot applications could be focused mainly on two major areas, as follows:
nanorobots for surgical interventions, as well as their utilization for patients that
need constant monitoring. The nanorobots require specific controls, sensors and
actuators, basically in accordance with each kind of biomedical problem.
Advanced simulations can include various levels of detail, giving a trade-off
between physical accuracy and the ability to control large numbers of nanorobots
over relevant time scales with reasonable computational effort. Another
advantage is that simulation can be done in advance of direct experimentation. It
is most efficient to develop the control technology in tandem with the fabrication
technologies, so that when we are able to build these devices, we will already
have a good background in how to control them.
We propose computational mechatronics approaches as suitable way to enable nanoelectromechanical systems (NEMS), nanomanufacturing has actually become
a reality [12], [14].
Hence, with the NEMS recent advances on building nanodevices, and the
development of interdisciplinary works, altogether may be translated in few years
through the development of integrated nanomachines, also known as nanorobots.
With the use of techniques that are advancing rapidly, such as nano-transducers
[22], [5], and biomolecular computing [2], [13], nanorobots are expected to be
able to operate in a well defined set of behaviors performing pre-programmed
tasks [7], [4]. Thus in the coming few years, nanorobots being tele-operated to
perform surgery, or even nanorobots continually supervising the human body in
order to assist organs that may require some kind of repair, is one of the most
expected revolutionary tools for biomedical engineering problems.
The development of nanorobots is an emerging field with many aspects under
investigation. Simulation is an essential tool for exploring alternatives in the
organization, configuration, motion planning, and control of nanomachines
exploring the human body. The work we have been done concentrates its main
focus on developing nanorobot control and design applied to nanomedicine.
Nanorobot applications could be focused mainly on two major areas, as follows:
nanorobots for surgical interventions, as well as their utilization for patients that
need constant monitoring. The nanorobots require specific controls, sensors and
actuators, basically in accordance with each kind of biomedical problem.
Advanced simulations can include various levels of detail, giving a trade-off
between physical accuracy and the ability to control large numbers of nanorobots
over relevant time scales with reasonable computational effort. Another
advantage is that simulation can be done in advance of direct experimentation. It
is most efficient to develop the control technology in tandem with the fabrication
technologies, so that when we are able to build these devices, we will already
have a good background in how to control them.
We propose computational mechatronics approaches as suitable way to enable the fast development of nanorobots operating in a fluid environment relevant for
medical applications. Unlike the case of larger robots, the dominant forces in this
environment arise from viscosity of low Reynolds number fluid flow and Brownian
motion and such parameters are been implemented throughout a set of different
investigations. We have been developing practical and innovative paradigms
based on the Nanorobot Control Design (NCD) simulator that allows fast design
testability comparing various control algorithms for nanorobots and their
application for different tasks. Also such information generated by the NCD can be
useful as parameters for building nanodevices, such as transducers and actuators.
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