Nanotechnology
Nanorobotics is an
emerging field that deals with the controlled manipulation of
objects with nanometer-scale dimensions. Typically, an atom has
a diameter of a few Ångstroms (1 Å = 0.1 nm = 10-10
m), a molecule's size is a few nm, and clusters or nanoparticles
formed by hundreds or thousands of atoms have sizes of tens of
nm. Therefore, Nanorobotics is concerned with interactions with
atomic- and molecular-sized objects-and is sometimes called Molecular
Robotics. We use these two expressions, plus Nanomanipulation,
as synonyms in this article.
Molecular Robotics falls within the purview of Nanotechnology,
which is the study of phenomena and structures with characteristic
dimensions in the nanometer range. The birth of Nanotechnology
is usually associated with a talk by Nobel-prize winner Richard
Feynman entitled "There is plenty of room at the bottom",
whose text may be found in [Crandall & Lewis 1992]. Nanotechnology
has the potential for major scientific and practical breakthroughs.
Future applications ranging from very fast computers to self-replicating
robots are described in Drexler's seminal book [Drexler 1986].
In a less futuristic vein, the following potential applications
were suggested by well-known experimental scientists at the Nano4
conference held in Palo Alto in November 1995:
Nanotechnology is being pursued along two converging directions.
From the top down, semiconductor fabrication techniques are producing
smaller and smaller structures-see e.g. [Colton & Marrian
1995] for recent work. For example, the line width of the original
Pentium chip is 350 nm. Current optical lithography techniques
have obvious resolution limitations because of the wavelength
of visible light, which is in the order of 500 nm. X-ray and electron-beam
lithography will push sizes further down, but with a great increase
in complexity and cost of fabrication. These top-down techniques
do not seem promising for building nanomachines that require precise
positioning of atoms or molecules.
Alternatively, one can proceed from the bottom up, by assembling
atoms and molecules into functional components and systems. There
are two main approaches for building useful devices from nanoscale
components. The first is based on self-assembly, and is a natural
evolution of traditional chemistry and bulk processing-see e.g.
[Gómez-López et al. 1996]. The other is based
on controlled positioning of nanoscale objects, direct application
of forces, electric fields, and so on. The self-assembly approach
is being pursued at many laboratories. Despite all the current
activity, self-assembly has severe limitations because the structures
produced tend to be highly symmetric, and the most versatile self-assembled
systems are organic and therefore generally lack robustness. The
second approach involves Nanomanipulation, and is being studied
by a small number of researchers, who are focusing on techniques
based on Scanning Probe Microscopy (abbreviated SPM, and described
later in this article).
A top-down technique that is closely related to Nanomanipulation
involves removing or depositing small amounts of material by using
an SPM. This approach falls within what is usually called Nanolithography.
SPM-based Nanolithography is akin to machining or to rapid prototyping
techniques such as stereolithography. For example, one can remove
a row or two of hydrogen atoms on a silicon substrate that has
been passivated with hydrogen by moving the tip of an SPM in a
straight line over the substrate and applying a suitable voltage.
The removed atoms are "lost" to the environment, much
like metal chips in a machining operation. Lines with widths in
the order of 10 to 100 nm have been written by these techniques-see
e.g. [Wiesendanger 1994] for a survey of some of this work. In
this article we focus on Nanomanipulation proper, which is akin
to assembly in the macroworld.
Nanorobotics research has proceeded along two lines. The first
is devoted to the design and computational simulation of robots
with nanoscale dimensions-see [Drexler 1992] for the design of
robots that resemble their macroscopic counterparts. Drexler's
nanorobot uses various mechanical components such as nanogears
built primarily with carbon atoms in a diamondoid structure. A
major issue is how to build these devices, and little experimental
progress has been made towards their construction.
The second area of Nanorobotics research involves manipulation
of nanoscale objects with macroscopic instruments. Experimental
work has been focused on this area, especially through the use
of SPMs as robots. The remainder of this article describes SPM
principles, surveys SPM use in Nanomanipulation, looks at the
SPM as a robot, and concludes with a discussion of some of the
challenges that face Nanorobotics research.
Scanning Probe Microscopes
The Scanning Tunelling Microscope (STM) was invented by Binnig
and Rohrer at the IBM Zürich laboratory in the early 1980s,
and won them a Nobel prize four years later. The principles of
the instrument can be summarized with the help of Figure 1.

A sharp conducting probe, typically made from tungsten is placed
very close to a sample, that must also be a conductor. The tip
is biased with respect to the sample as shown in the figure. The
tip can be moved towards or away from the sample, i.e.,
in the -z or +z directions in the figure, by means
of piezoelectric actuators. At Ångstrom-scale distances,
a quantum-mechanical effect, called tunneling, causes electrons
to flow across the tip/sample gap, and a current can be detected.
To first approximation, the tunneling current depends exponentially
on the distance between tip and sample. This current is kept constant
by a feedback circuit that controls the piezoelectric actuators.
Because of the current/distance relationship, the distance is
also kept constant, and the z accuracy is very high because
any small z variation causes an exponential error in the
current. Additional piezo motors drive the tip in a xy
scanning motion. Since the tip/sample gap is kept constant by
the feedback, the scanning tip traverses a surface parallel to
the sample surface. The result of a scan is a z(x,
y) terrain map, with enough resolution to detect atomic-scale
features of the sample, as indicated diagrammatically in the figure.
Various instruments analogous to the STM have been built. They
exploit physical properties other than the tunneling effect on
which the STM is based. The most common of these other instruments
is the Atomic Force Microscope (AFM), which is based on interatomic
forces. All of these instruments are collectively known as Scanning
Probe Microscopes (SPMs). The principles of operation of the AFM
are shown in Figure 2. The forces between atoms in the tip and
sample cause a deflection of the cantilever that carries the tip.
The amount of deflection is measured by means of a laser beam
bouncing off the top of the cantilever. (There are other schemes
for measuring deflection.) The force depends on the tip/sample
gap, and therefore servoing on the force ensures that the distance
is kept constant while scanning, as in the STM. The AFM does not
require conducting tips and samples, and therefore has wider applicability
than the STM.

If the tip of the AFM is brought very close to the sample, at
distances of a few Å, repulsive forces prevent the tip from
penetrating the sample. This mode of operation is called contact
mode. It provides good resolution but cannot be used with delicate
samples, e.g. biomaterials, which are damaged by the contact
forces. Alternatively, the AFM tip can be placed at distances
in the order of several nm or tens of nm, where the interatomic
forces between tip and sample are attractive. The tip is vibrated
at a frequency near the resonance frequency of the cantilever,
in the kHz range. The tip/sample force is equivalent to a change
in the spring constant of the cantilever, and causes a change
in its resonance frequency. This change can be used as the error
signal in the feedback circuit that controls the tip. (There are
alternative detection schemes.) This mode of operation is called
non-contact mode. It has poorer resolution than contact
mode but can be used with delicate samples.
For more information on SPM technology see for example [Wiesendanger
1994]. Although the SPM is not even twenty years old, it has had
a large scientific impact. There is a voluminous literature on
SPM applications, scattered through many journals such as Science
and the Journal of Vacuum Science and Technology, and proceedings
of meetings such as the biennial conference on Scanning Tunneling
Microscopy.
Nanomanipulation with the SPM
Since the early days of the SPM it was known that tip/sample
interaction could produce changes in both tip and sample. Often
these were undesirable, for example, a blunt probe due to a crash
into the sample. But it soon became clear that one could produce
new and desirable features on a sample by using the tip in a suitable
manner. One of the first demonstrations was done by Becker and
co-workers at Bell Labs, who managed to create nanometer-scale
germanium structures on a germanium surface by raising the voltage
bias of an STM tip [Becker et al. 1987]. Much of the subsequent
work falls under the category of Nanolithography and will not
be discussed here. In the following subsections we survey Nanomanipulation
research involving the SPM.
Pushing and Pulling
Pushing and pulling operations are not widely used in macrorobotics,
although there has been interesting work on orienting parts by
pushing, done by Matt Mason at CMU, Ken Goldberg at USC, and others.
The techniques seem suitable for constructing 2-D structures.
Interatomic attractive forces were used by Eigler et al.
at IBM Almadén to precisely position xenon atoms on nickel,
iron atoms on copper, platinum atoms on platinum, and carbon monoxide
molecules on platinum [Stroscio & Eigler 1991]. The atoms
are moved much like one displaces a small metalic object on a
table by moving a magnet under the table. The STM tip is placed
sufficiently close to an atom for the attractive force to be larger
than the resistance to lateral movement. The atom is then pulled
along the trajectory of the tip. Eigler's experiments were done
in ultra high vacuum (UHV) at very low temperature (4K). Low temperature
seems essential for stable operation. Thermal noise destroys the
generated patterns at higher temperatures.
Lateral repulsive forces were used by Güntherodt's group
at the University of Basel to push fullerene (C60)
islands of ~ 50nm size on flat terraces of a sodium chloride surface,
in UHV, at room temperature, with a modified AFM [Lüthi et
al. 1994]. The ability to move the islands depends strongly
on species/substrate interaction, e.g., C60 does not
move on gold, and motion on graphite destroys the islands. Lateral
forces opposing the motion are analogous to friction in the macroworld,
but cannot be modeled simply by Coulomb friction or similar approaches
that are used in macrorobotics.
Mo at IBM Yorktown rotated pairs of antimonium atoms between
two stable orientations 90 degrees apart [Mo 1993]. This was done
in UHV at room temperature, on a silicon substrate, by scanning
with an STM tip with a higher voltage than required for imaging.
The rotation was reversible, although several scans were sometimes
necessary to induce the desired motion.
Samuelson's group at the University of Lund succeeded in pushing
galium arsenide (GaAs) nanoparticles of sizes in the order of
30 nm on a GaAs substrate at room temperature in air [Junno et
al. 1995]. The sample is first imaged in non-contact AFM mode.
Then the tip is brought close to a nanoparticle, the feedback
is turned off and the tip is moved against the nanoparticle. Schaefer
et al. at Purdue University push gold clusters with an
AFM in a nitrogen environment at room temperature [Schaefer et
al. 1995]. They first image the clusters in non-contact mode,
then remove the tip oscillation voltage, and sweep the tip across
the particle in contact with the surface and with the feedback
disabled.
A similar technique is being used at USC's Laboratory for Molecular
Robotics to push colloidal gold nanoparticles with 15 nm diameters
on a mica substrate at room temperature and in ambient air. We
image in non-contact mode, then disable the feedback and push
by moving the tip in a single line scan, without removing the
tip oscillation voltage. Figure 3 shows on the right a "USC"
pattern written with gold nanoparticles. The z coordinate
is encoded as brightness in this figure. On the left is the original
random pattern, before manipulation with the AFM. Figure 4 shows
the same "USC" pattern displayed in perspective. A 3-D
VRML (Virtual Reality Modeling Language) file, obtained from the
terrain map shown in Figure 3 is available for browser viewing
by following the "What's Cool" link in http://www-lmr.usc.edu/~lmr.
Smaller objects have been arranged into prescribed patterns at
room temperature by Gimzewski's group at IBM's Zürich laboratory.
They push molecules at room temperature in UHV by using an STM.
They have succeeded in pushing porphyrin molecules on copper [Jung
et al. 1996], and more recently they have arranged bucky
balls (i.e., C60) in a linear pattern, using an atomic
step in the copper substrate as a guide [Cuberes et al.
1996].
C60 molecules on silicon also have been pushed with
an STM in UHV at room temperature by Maruno et al. in Japan
[Maruno et al. 1993], and Beton et al. in the U.K.
[Beton et al. 1995]. In Maruno's approach the STM tip is
brought closer to the surface than in normal imaging mode, and
then scan across a rectangular region with the feedback turned
off. This causes many probe crashes. In Beton's approach the tip
also is brought close to the surface, but the sweep is done with
the feedback on and a high value for the tunneling current. Their
success rate is in the order of only 1 in 10 trials.


Picking and Placing
Much of industrial macrorobotics is concerned with pick and place
operations, which typically do not require very precise positioning
or fine control. There are a few examples of experiments in which
atoms or molecules are transferred to SPM tips, these are moved,
and the atoms transferred back to the surfaces.
Eigler et al. succeeded in transferring xenon atoms from
platinum or nickel surfaces to an STM tip by moving the tip sufficiently
close for the adsorption barriers of surface and tip to be comparable
[Stroscio & Eigler 1991]. An atom may leave the surface and
become adsorbed to the tip, or vice-versa. Benzene molecules also
have been transferred to and from tips.
Eigler's group also has been able to transfer xenon atoms between
an STM tip and a nickel surface by applying voltage pulses to
the tip [Stroscio & Eigler 1991]. This is attributed to electromigration,
caused by the electric current flowing in the tunneling junction.
All of Eigler's work has been done in UHV at 4K.
Avouris' group, at IBM Yorktown, and the Aono group in Japan
have transferred silicon atoms between a tungsten tip and a silicon
surface in UHV at room temperature, by applying voltage pulses
to the tip [Lyo & Avouris 1991] [Uchida et al. 1993].
The mechanism for the transfer is believed to be field-induced
evaporation, perhaps aided by chemical phenomena at the tip/surface
interface in Avouris work.
Compliant Motion
This is the most sophisticated form of macrorobotic motion. It
involves fine motions, as in a peg-in-hole assembly, in which
there is accomodation and often force control, for example to
ensure contact between two surfaces as they slide past each other.
Compliance is crucial for successful assembly operations in the
presence of spatial and other uncertainties, which are unavoidable.
The study of the nanoscale analog of compliant motion seems to
be virgin territory. We speculate that the analog of compliance
is chemical affinity between atoms and molecules. We suspect that
such "chemical compliance" may prove essential for nanoassembly
operations at room temperature, in the presence of thermal noise.
It seems likely that successful assembly of nanoscale components
will require a combination of precise positioning and chemical
compliance. Therefore, work on self-assembling structures is relevant.
The SPM as a Robot
Motion
To first approximation, an SPM is a 3 degree-of-freedom robot.
It can move in x, y, and z, but cannot orient
its tip, which is the analog of a macrorobotic hand. (How could
a 6 degree-of-freedom SPM be built, and what could be done with
it, are interesting issues.) The vertical displacement is controlled
very accurately by a feedback loop involving tunneling current
or force (or other quantities for less-common SPMs). But nanoscale
x,y motion over small regions (e.g., within a 5 micron
square) is primarily open-loop, because of a lack of suitable
sensors that can be used in a feedback scheme. Accurate horizontal
motion relies on calibration of the piezoelectric actuators, which
are known to suffer from a variety of problems such as creep and
hysteresis. In addition, thermal drift of the instrument is very
significant. At room temperature a drift of one atomic diameter
per second is common, which means that manipulation of atomic
objects on a surface is not unlike picking parts from a conveyor
belt. Thermal drift is negligible if the SPM is operated at very
low temperatures, and all the experiments in atomic-precision
manipulation to date have been done at 4K. This involves complex
technology and is clearly undesirable. For room-temperature nanomanipulation,
drift, creep and hysteresis must be taken into account. Ideally,
compensation should be automatic. Research is under way at USC
on how to move accurately an SPM tip in the presence of all these
sources of error.
To complicate matters further, the SPM often must operate in
a liquid environment, especially if the objects to be manipulated
are biological. Little is known about nanomanipulation in liquids.
Sensing
The SPM functions both as a manipulator and a sensing device.
The lack of a direct and independent means of establishing "ground
truth" while navigating the tip causes delicate problems.
The SPM commands are issued in instrument or robot coordinates,
and sensory data also are acquired in robot coordinates, whereas
manipulation tasks are expressed in sample or task coordinates.
These two coordinate systems do not coincide, and indeed are in
relative motion due to drift. Accurate motion in task coordinates
may be achieved by a form of visual servoing, by tracking features
of the sample and moving relative to them.
A simple example of a practical implementation of these ideas
is illustrated in Figure 5. To construct the pattern shown in
Figures 3 and 4 we move the tip to the approximate position of
a nanoparticle to be pushed, and then search for it through single-line
scans.

Feature tracking assumes that features are stationary in task
coordinates. This assumption may fail at room temperature if the
features are sufficiently small, because of thermal agitation.
Hence, atomic manipulation at room temperature may require artificially-introduced
features that can be tracked to establish a task coordinate system.
It must also deal with the spatial uncertainty associated with
the thermal motion of the atoms to be moved. Larger objects such
as molecules and clusters have lower spatial uncertainty, and
should be easier to handle.
The SPM output signal depends not only on the topography of the
sample but also on the shape of the tip, and on other characteristics
of the tip/sample interaction. For example, the tunneling current
in an STM depends on the electronic wavefunctions of sample and
tip. To first approximation one may assume that the tip and sample
are in contact. Under this assumption one can use configuration-space
techniques to study the motion of the tip [Latombe 1991]. Figure
6 illustrates the procedure in 2-D. On the top of the figure we
consider a tip with a triangular end and a square protrusion in
the sample. In the bottom we consider a tip with a semi-circular
end and the same protrusion. We choose as reference point for
the tip its apex, and reflect the tip about the reference point.
The configuration-space obstacle that corresponds to the real-space
protrusion obstacle is obtained by sweeping the inverted tip over
the protrusion so that the apex remains inside the obstacle. Mathematically,
we are calculating the Minkowski sum of the inverted tip and the
protrusion. The path of the tip in its motion in contact with
the obstacle is the detected topographical signal. As shown in
the figure, the sensed topography has been broadened by the dimensions
of the tip. Note, however, that the detected height is correct.
(Minkowski operations and related mathematical morphology tools
were introduced in the SPM literature only recently [Villarrubia
1994].) Tip effects are sometimes called "convolution",
by analogy with the broadening of an impulse passing through a
linear system, and one talks of "deconvolving" the image
to remove tip effects.

The configuration-space analysis outlined above is purely geometric
and provides only a coarse approximation to the SPM output signal.
More precise calculations may be performed numerically. For example,
in contact AFM we can assume specific atomic distributions for
the tip and sample, and a specific form for the interatomic forces,
and compute the resulting tip/sample force. Work along these lines
has been reported for STMs by Aono's group in Japan [Watanabe
et al. 1992].
A major issue in tip-effect compensation is that the shape of
the probe is not known, and indeed may vary during operation.
For example, atoms may be adsorbed on the tip or lost because
of the contact with the sample. The most promising approach for
dealing with tip effects consists of estimating the tip shape
by using it to image known features. If necessary, artificial
features may be introduced into the scene for tip estimation purposes.
The estimated tip shape can then be used to remove (at least in
part) the tip effects from the image by using Minkowski operations
[Villarrubia 1994]. Removal procedures that take into account
more sophisticated, non-geometric effects, do not appear to be
known.
Sensor fusion techniques may be used, at least in principle,
for increasing the quality of the sensory data, because it is
possible to access several signals during an SPM scan. For example,
vertical and lateral force (akin to friction) can be recorded
simultaneously in typical AFMs. To our knowledge, sensor fusion
has not been attempted in SPM technology.
It is clear that faithful sensory data should facilitate manipulation
tasks. What is not clear is whether clever manipulation strategies
can compensate for the imperfections of SPM data.
End Effectors
The SPM tip is the primary end effector in nanomanipulation.
A plain, sharp tip seems to be adequate for most pushing operations.
In some cases it may also suffice for picking and depositing objects,
especially in conjunction with electrostatic forces generated
by applying a suitable bias to the tip. This requires both a conducting
tip and a conducting substrate. Pick-and-place tasks, however,
usually require the nanoscale analog of a gripper. Very
little is known about molecular grippers.
One can think of a nanogripper as a molecule or cluster of molecules
that are attached to a tip and are capable of picking up and transporting
other molecules or particles. (Tips with attached molecules are
said to be functionalized.) Ideally these grippers should
be switchable, so as to pick and release objects on command. Candidates
for grippers are certain molecules such as cyclodextrins, which
have large cavities that can carry other molecules. Coating a
tip with strands of DNA may also permit picking up objects that
are coated with complementary strands. In both of these examples,
switching the gripper on and off is not a solved problem.
Techniques for changing SPM tips automatically do not exist.
Changes must be done manually, and it is very difficult or impossible
to maintain sample registration, i. e., to return to the
same position on the sample after tip replacement. This implies
that one often must image using a tip with an attached gripper.
Again, little is known about imaging with such functionalized
tips.
Fixtures
In the macroworld fixtures are often necessary to hold mechanical
parts during assembly and other manufacturing operations. In micromechanics
sacrificial layers are used as scaffolding to fabricate certain
microelectromechanical systems (MEMS). At the nanoscale, the analogs
of fixtures are substrates that ensure that certain objects remain
fixed during manipulation, while others are allowed to move. Substrate
selection seems to be highly dependent on the chemistry of the
objects being manipulated.
Manipulation Processes
In macrorobotics the physical processes involved are mechanical
and relatively well understood. At the nanoscale, the processes
are chemical and physical, and still an area of active research.
In addition, nanomanipulation takes place in several different
environments, such as liquids, air or UHV. The environment has
a strong influence on the physics and chemistry of the processes.
Nanomanipulation is not restricted to mechanical interactions.
For example, light, electrostatic fields, and the pH of a liquid
all are candidates for controlled interaction with nanoparticles.
Programming and Planning
High level programming and planning systems are highly desirable,
and indeed essential for assembling complex structures. One must
begin with relatively low-level programming primitives and build
upon them constructs at a higher level of abstraction. High-level
commands must be compiled into low-level primitives. This compilation
may involve sophisticated computations, for example to ensure
collision-free paths in an environment with large spatial uncertainty.
What are the relevant high-level manipulation tasks? For example,
what is the nanoscale equivalent of a peg-in-hole insertion? In
short, we may need to adapt much of what is known about macrorobotics
to the nanoworld. It is likely that new concepts will also be
needed, because the physics and chemistry of the phenomena and
objects are quite different in these two worlds.
Assembly Applications
What hardware primitives are suitable as building blocks? The
nanotechnology literature suggests hardware primitives based on
DNA structures such as those built in Seeman's lab [Seeman et
al. 1993], proteins, and diamondoid structures [Drexler 1992].
Biomaterials such as DNA and proteins may be too flimsy, whereas
diamondoid structures are expected to be very strong. No experiments
have yet been reported in which any of these components are successfully
assembled into a composite structure.
Which tasks should one attempt first? What should one try to
build? Here the options are in the realms of electronics, photonics,
mechanics, or biomaterials. On-going research at USC is attempting
to build nanowires as assemblies of gold particles, and arrays
of nanostructures with photonic properties on patterned semiconductor
substrates.
Challenges
Nanorobotics manipulation with SPMs is a promising field that
can lead to revolutionary new science and technology. But it is
clearly in its infancy.
Typical nanomanipulation experiments reported in the literature
involve a team of very skilled, Ph.D.-level researchers working
for many hours in a tightly-controlled environment (typically
in ultra high vacuum and at low temperature, often 4K) to build
a pattern with tens of nanoparticles. It still takes the best
groups in the world some 10 hours to assemble a structure with
about 50 atoms. This is simply too long-changes will occur in
many systems, e.g. contamination or oxidation of the components,
on a timescale that will constrain the maximum time available
for nanomanipulation. Requiring all operations to take place at
4K and in UHV also is not practical for widespread use of nanomanipulation.
In short, nanomanipulation today is more of an experimental tour-de-force
than a technique that can be routinely used. It is clear that
complex tasks cannot be accomplished unless the SPM is commanded
at a higher level of abstraction. Compensation for instrument
inaccuracies should be automatic, and the user should be relieved
from many low-level details.
Building a high level programming system for nanomanipulation
is a daunting task. The various component technologies needed
for nanomanipulation must be developed and integrated. These technologies
include: substrates that serve as nanofixtures or nanoworkbenches
on which to place the objects to be manipulated; tips, probes
and molecules that serve as grippers or end-effectors; chemical
and physical nanoassembly processes; primitive nanoassembly operations
that play a role analogous to macroassembly tasks such as peg-in-hole
insertion; methods for exploiting self-assembly to combat spatial
uncertainty, in a role analogous to mechanical compliance in the
macroworld; suitable hardware primitives for building nanostructures;
and algorithms and software for sensory interpretation, motion
planning, and driving the SPM. This is a tall order, and requires
an interdisciplinary approach that combines synergistically the
knowledge and talents of roboticists and computer scientists with
those of physicists, chemists, materials scientists, and perhaps
biologists.
SPM-based assembly methods face a major scale-up challenge. Building
complex structures one atom (or even one nanoparticle) at a time
is very time consuming. We believe that SPMs will have applications
in the exploration of new structures, which may later be mass
produced by other means. This is the nanoworld analog of rapid
protyping technologies such as stereolithography that are becoming
popular at the macroscale.
There are at least two approaches for fighting the serial nature
of SPM manipulation. The first involves the use of large arrays
of SPMs on a chip. These chips are being developed at Cornell
and Stanford. Programming such arrays for coordinated assembly
tasks poses interesting problems. The second approach is subtler,
and consists of using the SPM to construct structures that are
capable of self-replication. The best known such structures involve
DNA, but other systems also exist. Self-replication is inherently
an exponential process.
In summary, nanomanipulation with SPMs may have a revolutionary
impact on science, technology, and the way we live. To fully exploit
its potential we will have to develop powerful systems for programming
nanorobotic tasks. Much of what is known in macrorobotics is likely
to be relevant, but may have to be adapted to the nanoworld, where
phenomena and structures are quite different from their macroscopic
counterparts. Research at USC and elsewhere is progressing, with
promising results.
Nanomanipulation, perhaps coupled with self-assembly, is expected
to eventually succeed in building true nanorobots, i.e.,
devices with overal dimensions in the nanometer range and capable
of sensing, "thinking", and acting. Complex tasks are
likely to require a group of nanorobots working cooperatively.
This raises interesting issues of control, communications, and
programming of robot "societies".
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