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Scientists and roboticists have long looked at nature for inspiration to develop new features for machines. In this case, researchers from the University of Toronto were inspired by bats and other animals that rely on echolocation to design a method that would give small robots that ability to navigate themselves — one that doesn’t need expensive hardware or components too large or too heavy for tiny machines. In fact, according to PopSci, the team only used the integrated audio hardware of an interactive puck robot and built an audio extension deck using cheap mic and speakers for a tiny flying drone that can fit in the palm of your hand.
The system works just like bat echolocation. It was designed to emit sounds across frequencies, which a robot’s microphone then picks up as they bounce off walls. An algorithm that team created then goes to work to analyze sound waves and create a map with the room’s dimensions.
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In the researchers’ paper published in IEEE Robotics and Automation Letters, they said existing “algorithms for active echolocation are less developed and often rely on hardware requirements that are out of reach for small robots.” The researchers also said their “method is model-based, runs in real time and requires no prior calibration or training.”
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The researchers found during their tests that their technique is still not quite as accurate as systems that use bigger and more expensive hardware, such as GPS sensors or cameras.
They’re hoping to improve its accuracy in future versions, though, and to eliminate the need for the system to generate sounds. Instead, they want their system to be able to echolocate using the sounds the drone itself produces, such as the whirl of its own propellers.
