As autonomy becomes a defining requirement across military drones, robotic systems, and other unmanned platforms, developers face a growing challenge: finding enough onboard computing power to run advanced AI without driving up size, weight, power consumption, and cost.
On this episode of the Aerospace & Defense Technology podcast, we speak with Saleel Awsare, President and CEO of Lantronix, about the company's new Spotter embedded computing platform, unveiled during AUSA 2026 in Washington, D.C.
The discussion explores how Spotter was designed to close what Lantronix describes as the "compute gap" between low-end embedded boards that cannot support meaningful AI workloads and larger GPU-based solutions that may be too expensive or power-hungry for small, scalable autonomous systems. Powered by the Qualcomm Dragonwing QCS6490, Spotter integrates AI processing, vision capabilities, flight-grade sensing, and vehicle control into a compact board intended for aerial, ground, and maritime autonomous platforms.
Listen to the full conversation to learn how advances in edge AI computing are helping make autonomy more accessible for drone and robotics developers across defense and commercial markets.
Season 17 of the Aerospace & Defense Technology podcast is sponsored by Allient.
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