LENS (Locational Encoding with Neuromorphic Systems) uses brain-inspired computing to set a new, low-energy benchmark for robotic place recognition. To run these neuromorphic systems, they designed specialised algorithms that learn more like humans do, processing information in the form of electrical spikes, like the signals used by real neurons.
In the study, researchers developed a system that was able to recognise locations along an 8 km journey but using only 180KB of storage, almost 300 times less than other systems. LENS combines a brain-like spiking neural network with a special camera that only reacts to movement and a low-power chip, all on one small robot.
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