Two spiking neural networks on an ESP32 microcontroller achieve stable untethered pitch and heading control of a flapping-wing micro aerial vehicle while cutting inference latency 36% and power 18% versus a conventional neural-network baseline.
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Neuromorphic Control of a Flapping-Wing Robot on Resource-Constrained Hardware
Two spiking neural networks on an ESP32 microcontroller achieve stable untethered pitch and heading control of a flapping-wing micro aerial vehicle while cutting inference latency 36% and power 18% versus a conventional neural-network baseline.