GA-ASI’s Avenger Leads the Way in Autonomy and AI

There’s been a lot of talk about building a new generation of autonomous systems to help the U.S. and its allies preserve their advantage in airpower. General Atomics Aeronautical Systems is leading the way.

To understand how, consider the scale and nature of the challenge: Tomorrow’s Air Force needs large numbers of versatile, highly capable aircraft to scout ahead, share what they sense, take on tasks and act largely on their own.

Obviously, this requires advanced new aircraft, but that’s not all. It also requires new sensing and communications systems, networks to knit them all together, software to control everything and interfaces that make it simple for the human personnel overseeing it all.

Fielding one aspect of it would be difficult. Fielding the whole ecosystem will be one of the greatest challenges in the history of aviation – a task too big for any single entity or company. Fortunately, a great deal of headway already has been made by GA-ASI and its partners. GA-ASI’s Gambit series of systems is the most complete vision in the aerospace world today of a new suite of unmanned combat aircraft, and it represents an ideal end state program for the Air Force and its allies.

To get there, GA-ASI’s MQ-20 Avenger aircraft are climbing the ladder toward broader and more complete networked autonomy. A series of experiments and test events, many of them thanks to company investments, have yielded a status report that shows GA’s progress on advanced, networked autonomy is second to none.

That makes sense – as the world leader in unmanned aircraft, with more than 8 million flight hours logged, GA-ASI is positioned better than anyone to make the next advances into a new era of aircraft operations.

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