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Penn State team builds $12 million insect-inspired digital brain for autonomous drones

A $12 million Army-funded project at Penn State is developing an on-board sensing system for drones that mimics insect decision-making using analogue computing and graphene components.

Penn State’s $12 million initiative, financed by the US Army’s Army Research Laboratory, seeks to give drones a biologically inspired decision engine that operates without cloud connectivity. Professor Saptarshi Das and a multi-university team are modeling how insects and owls handle sensory overload with minuscule brains, then translating those principles into hardware. The design employs analogue processing, graphene-based field-effect transistors, memristors and a cochlea-style filter to cut energy consumption and avoid constant digital conversion.

By emulating coincidence-detecting neurons, the system will prioritize combined signal events over isolated noise. Researchers also plan a noise-like communication scheme for coordinated drone swarms. Demonstrations will progress yearly, scaling from a single unit to multiple autonomous drones while keeping size, weight and power constraints in check.

Why it matters

The technology could let autonomous robots operate in remote or contested areas without relying on heavy data links or power-hungry processors.

In this story

digital braindronesanalogue computinggraphenememristorsinsect-inspirededge computingswarm communication
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