GA-ASI Efficiently Demonstrates Excessive-Powered Computing on the Edge with AFRL’s Agile Condor Pod – Drones Information


General Atomics Aeronautical Systems, Inc. (GA-ASI), with the support of SRC Inc., successfully integrated and flown the Air Force Research Laboratory’s (AFRL) Agile Condor Pod into a remote-controlled MQ-9 aircraft (RPA) at GA-. ASI’s flight test and training center in Grand Forks, North Dakota. The Agile Condor Pod provides built-in high-speed computational processing coupled with machine learning algorithms to discover, correlate, identify, and track targets of interest. With this function, the MQ-9 can identify objects autonomously using its integrated electro-optical / infrared sensor (EO / IR) and the Lynx® Synthetic Aperture Radar (SAR) from GA-ASI.

“Peripheral computing has a huge impact on future unmanned systems,” said David R. Alexander, president of GA-ASI. “GA-ASI has set itself the goal of expanding the capabilities of artificial intelligence on unmanned systems, and the ability of the Agile Condor is proof that we can shorten the observation, orientation, decision-making and action cycle precisely and effectively to achieve information superiority. GA-ASI is excited to continue working with AFRL to advance artificial intelligence technologies that will lead to an improvement in autonomous mission capabilities. “

High-power computing on the edge enables autonomous target recognition, identification and nomination at greater distances. Integrated processing reduces the communication bandwidth requirements to share target information with other platforms. This is an important step towards greater automation, autonomous target acquisition and faster decision making. GA-ASI will continue to work with AFRL to refine the capability and facilitate the transition to operational constructs that enhance warfighters’ ability to operate in controversial or denied environments.

About GA-ASI

GA-ASI, a subsidiary of General Atomics, is a leading developer and manufacturer of proven, reliable Remote Piloted Aircraft (RPA) systems, radars, and electro-optical and related mission systems, including the Predator® RPA series and Lynx® Multi-Mode Radar. With more than six million flight hours, GA-ASI offers a durable, mission-capable aircraft with built-in sensor and data link systems necessary for sustained flight that enables situational awareness and rapid strike. The company also produces a variety of ground control stations and software for sensor control / image analysis, offers training and support for pilots and develops metamaterial antennas.

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