Abstract
In this work, RoBat, a biomimetic sonarhead mounted on a mobile
robot is presented as a platform in which to study perception in bats.
After addressing the relation between bats and robots, a biologically
plausible model of the bat's cochlea is described. The model consists of
a filterbank with an artificial neural network (ANN) connected at the
end of it. The ANN is used for extracting the frequency of the received
echoes. Thus, Doppler shifts, which play a fundamental role in bat
navigation, can be successfully estimated. Experiments with simulated
and real data show the efficiency of the system when used on a LEGO
mobile robot
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