Advancing artificial animals
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Robot meets real. Credit: Illustration: E. Dewalt / Springer Nature; background image: Getty
Advancing artificial animals
A human can’t easily infiltrate another species’ social group to examine and influence what makes the animals tick.
But the right robot can open up a clever way in.
Alla Katsnelson
W
hen Maurizio Porfiri set out a
decade ago to build a robot that
could control how a group of
animals behaved, he envisioned using it in
the wild to perform environmental functions
such as steering fish away from danger. “If
there was an oil spill or a natural disaster,
then you could use the robot as kind of a
sheepdog for driving the fish away from the
polluted region,” he says.
His team first embarked on the project
from a distinctly engineering point of
view—what they cared about was whether
or not the fish could be directed from one
place to another by the robotic device.
But their interest soon veered in a more
philosophical direction. “As we were doing
the experiments, we got interested in what’s
going on in their heads,” says Porfiri, a
mechanical engineer at New York University
Tandon School of Engineering. “How do
they perceive the mimicry of the robot?
How do they respond to it? And, does their
response depend on their personality?”
These are the questions Porfiri
investigates today with zebrafish, his species
of choice, and a workshop for building any
manner of robotic rig. He and a handful of
other researchers working at the intersection
of biology and robotics are exploring the
intriguing possibilities and the inherent
challenges of creating robot versions of
animals that can interact with their flesh and
blood counterparts.
There’s a lot to be learned from letting
robots loose in a group of behaving animals.
For one thing, to understand animal
behavior—be it directional decision-making
in fish, communication in honeybees, or
shelter-seeking in cockroaches—researchers
implicitly or explicitly create a conceptual
model of it. Recreating that behavior in a
robot through cues convincing enough that
the robot is accepted by its unmechanized
peers provides a way of validating that
model, says JoséHalloy, professor of
physics at the UniversitéParis Diderot, who
has built robotic cockroaches, chicks, and
now zebrafish.
Such robots allow researchers to probe
animals’ reactions to different variables in
highly standardized ways. For example,
it can be tough to tease out how an
animal’s size affects how it interacts with
its conspecifics, notes Porfiri, since size is
usually accompanied by other factors such
Lab Animal | VOL 47 | AUGUST 2018 | 201–204 | www.nature.com/laban
as age and fitness, which can in turn
affect behavior. “With a robot, you can
keep everything the same, and just change
the size.”
Engineering robotic interlopers that
can have sustained social interactions with
their target organisms isn’t easy, however.
“At the end of the day it has to be accepted
by the animal,” says Halloy. Invariably,
researchers encounter limitations—often
unexpected ones—in biological knowledge.
Which specific cues would make the
artificial creatures most realistic to the real
ones? What kinds of information should be
programmed in the algorithms that would
allow the robots to dynamically interact with
the animals? Then there are the seemingly
more mundane issues: Can the programs
that ensure the robot doesn’t bump into
animals, or the walls of a testing space, run
in parallel with those that govern its higherorder interactions? Will the hum of the
motor be too loud?
Follow the cues
Animal-inspired design has long been a
theme in robotics, but much of it involves
creating robots for human use—or simply
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for human fascination. Think the fantastical
creations of the companies Boston
Dynamics and Festo, mimicking everything
from ants, fleas and spiders to dogs,
cheetahs and kangaroos. Since about the
early 1990s, researches have also designed
robots that mimic features of specific
animals in order to investigate how they
perform certain behaviors. For example,
bioroboticist Barbara Webb at the University
of Edinburgh creates robotic insects to
study complex behaviors, such as how ants
navigate. Auke Ijspeert, at the Swiss Federal
Institute of Technology in Lausanne, uses
robotic salamanders to explore how the
modeled animal’s neural circuitry supported
its evolutionary shift from aquatic to
terrestrial locomotion.
But only in the last decade have
researchers begun to study how animals
interact with robotic versions of themselves.
One root of such efforts stretches decades
back to ethologists such as Nikolaas
Tinbergen, who shared the 1973 Nobel Prize
in Physiology or Medicine for showing he
could elicit instinctual behaviors, such as
fighting, from fish using wooden dummies
that carried species-specific cues. That work
revealed that artificial animals could trick
the real ones into interacting with them if
they conveyed the right signals. Robotics,
however, opens another dimension because
the possibilities for interaction can go both
ways and are significantly more complex.
In 2007, Halloy and his colleagues created
cockroach robots that could integrate into a
Waggle and roll: Tim Landgraf's robotic bees
don't need to look like an actual bee to perform a
convincing waggle dance. Credit: T. Landgraf, Free
University Berlin
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The robots and the bees: Evolutionary algorithms
can learn from the animals, and encourage
specific behaviors. Credit: EU FET project ASSISIbf
(project coordinator: T. Schmickl)
social group of real roaches and influence its
dynamics1. Cockroaches aren’t very visual,
so their mechanized brethren didn’t have
to look like them. Instead, the researchers
made a concoction of chemicals that Halloy
calls Cockroach Chanel #5, essentially
rebuilding the olfactory cue through which
cockroaches communicate.
Cockroaches tend to scurry out of the
light, so the team created two shelters in
a well-lit enclosed space, one invitingly
dark and the other a bit brighter. When the
natural roaches and their four robot relatives
were first released into the enclosure,
group social dynamics prevailed and
both gravitated to the darker shelter. But
when the robo-roaches were programmed
to prefer the lighter shelters, they could
lure the insects to follow them there. The
robots allowed the researchers to test their
understanding of the animals’ behavior by
pushing it into a direction that wouldn’t
naturally arise, Halloy says.
Animal-robot encounters in the
lab can also reveal gaps in researchers’
understanding of behaviors, says Tim
Landgraf, who heads the Biorobotics Lab
at Free University Berlin. About a decade
ago, Landgraf set out to create a robot
that could communicate with honeybees
using the waggle dance, a form of encoded
communication these pollinators use to
tell their hive-mates the distance and the
location of forage sites. The waggle dance
has been studied for decades; indeed,
Austrian ethologist Karl von F (...truncated)