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USV Adaptive Control Architecture: Simulation Trials

By Aurora Flight Sciences / 10 Apr 2024
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In this video, the Boeing company Aurora Flight Sciences demonstrate its machine learning-based introspection technologies with the goal of enabling physical systems, in this case ships, to adapt their control laws as they encounter uncertainties or unexpected events.

The testing forms a part of the initiative titled “Fast Adaptation and Learning for Control Online” (FALCON), which aims to support the Defense Advanced Research Projects Agency’s (DARPA) Learning Introspective Control (LINC) program.

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