Open AccessA bio-mimetic miniature drone for real-time audio based short-range tracking
Author(s) -
Roei Zigelman,
Ofri Eitan,
Omer Mazar,
A.J. Weiss,
Yossi Yovel
Publication year - 2022
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1009936
Subject(s) - drone , computer science , track (disk drive) , focus (optics) , set (abstract data type) , tracking (education) , artificial intelligence , computer vision , matching (statistics) , range (aeronautics) , sound (geography) , real time computing , simulation , human–computer interaction , acoustics , engineering , biology , aerospace engineering , psychology , pedagogy , statistics , genetics , physics , mathematics , optics , programming language , operating system
One of the most difficult sensorimotor behaviors exhibited by flying animals is the ability to track another flying animal based on its sound emissions. From insects to mammals, animals display this ability in order to localize and track conspecifics, mate or prey. The pursuing individual must overcome multiple non-trivial challenges including the detection of the sounds emitted by the target, matching the input received by its (mostly) two sensors, localizing the direction of the sound target in real time and then pursuing it. All this has to be done rapidly as the target is constantly moving. In this project, we set to mimic this ability using a physical bio-mimetic autonomous drone. We equipped a miniature commercial drone with our in-house 2D sound localization electronic circuit which uses two microphones (mimicking biological ears) to localize sound signals in real-time and steer the drone in the horizontal plane accordingly. We focus on bat signals because bats are known to eavesdrop on conspecifics and follow them, but our approach could be generalized to other biological signals and other man-made signals. Using two different experiments, we show that our fully autonomous aviator can track the position of a moving sound emitting target and pursue it in real-time. Building an actual robotic-agent, forced us to deal with real-life difficulties which also challenge animals. We thus discuss the similarities and differences between our and the biological approach.