Scientists
have successfully replicated the behaviour of a colony of ants on the
move with the use of miniature robots, as reported in the journal PLOS
Computational Biology. The researchers, based at the New Jersey
Institute of Technology and at the Research Centre on Animal
Cognition,Additionally, digital toilet hidden camera have
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individual ants, when part of a moving colony, orient themselves in the
labyrinthine pathways that stretch from their nest to various food
sources.
The
study focused mainly on how Argentine ants behave and coordinate
themselves in both symmetrical and asymmetrical pathways. In nature,
ants do this by leaving chemical pheromone trails.Therefore, it can be
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sugar cube size robots, called "Alices", leaving light trails that they
can detect with two light sensors mimicking the role of the ants'
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In
the beginning of the experiment, where branches of the maze had no
light trail, the robots adopted an "exploratory behaviour" modelled on
the regular insect movement pattern of moving randomly but in the same
general direction. This led the robots to choose the path that deviated
least from their trajectory at each bifurcation of the network. If the
robots detected a light trail, they would turn to follow that path.SATO
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One
outcome of the robotic model was the discovery that the robots did not
need to be programmed to identify and compute the geometry of the
network bifurcations. They managed to navigate the maze using only the
pheromone light trail and the programmed directional random walk, which
directed them to the more direct route between their starting area and a
target area on the periphery of the maze. Individual Argentine ants
have poor eyesight and move too quickly to make a calculated decision
about their direction. Therefore the fact that the robots managed to
orient themselves in the maze in a similar fashion than the one observed
in real ants suggests that a complex cognitive process is not necessary
for colonies of ants to navigate efficiently in their complex network
of foraging trails.
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