Tag: UAS-control methods

Improving the safety of unmanned aerial systems: A fuzzy logic–AI approach

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Dr Timothy Arnett develops fuzzy logic-based artificial intelligence and machine learning tools for unmanned aerial vehicles and UAS.

With their ever-increasing capabilities and applications, the use of unmanned aerial systems (UAS) is set to soar. This creates an urgent need for solutions that safely manage UAS operations in congested low-altitude airspace. Some advanced UAS-control methods are based on reinforcement learning techniques, but these are not yet fully validated. Taking a fuzzy logic-based approach to this problem are Dr […]

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