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Scientific Systems Company, Inc AI-Enabled UAV Completes Successful Flight Demonstration for the U.S. Army’s Project Convergence

Under contract from Army Futures Command DEVCOM C5ISR Night Vision Electronic Sensors Directorate, SSCI’s Robotic Autonomous Platform for Tactical Operations and Reconnaissance (RAPTOR) autonomous Unmanned Aerial Vehicle (UAV) was successfully flown for the U.S. Army’s Project Convergence. The demonstration took place at Yuma Proving Grounds, AZ in late Summer of 2020. The RAPTOR system integrates SSCI’s Finding Objects via Closed-loop Understanding of the Scene (FOCUS) artificial intelligence-enabled autonomy software with a commercial off-the-shelf UAV airframe and EO/IR sensor. FOCUS provides a number of innovative machine intelligence capabilities that, with only high-level direction from a supervisor (also known as “commander’s intent”), provides full autonomous control of the UAV and its sensor to find, fix, track, and identify targets of interest in complex environments. The last step, identification, is performed onboard “at-the-edge” using machine-learning based automatic target recognition software running on a high-performance graphics processing unit onboard the UAV.

Utilizing SSCI’s FOCUS autonomy software, developed under various DARPA programs, the RAPTOR test vehicle was given the task to find and localize an “enemy” target military vehicle more than 1 km from RAPTOR’s launch location. Once tasked, the autonomy software successfully navigated the RAPTOR UAV to the search area and, with knowledge of the terrain below, controlled the aircraft flight path and camera direction. Identification of the military vehicle was performed using computer vision. An immediate alert was provided to the supervisor of the potential threat with a precise location and image for positive identification. RAPTOR returned home without requiring any additional direction from the supervisor.

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To date, Project Convergence is the Army’s largest test event that showcases how cutting-edge AI capabilities can be used to speed up the sense-to-effects kill chain. SSCI’s Vice President of Research and Development, Dr. Owen Brown, states “The demonstration results of our RAPTOR system are a really big deal. What we have shown is how machine intelligence ‘at-the-edge’ can be used to dramatically shorten the ‘OODA loop’ and provide the military with a distinct advantage in the fight.”

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It’s also notable that the SSCI software used to control RAPTOR was specifically designed to be agnostic to the UAV and sensor it controls so that only small modifications are needed to control other, potentially larger UAVs, and given the demonstration approach, shows the ability to evolve into multidomain operations.

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