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

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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UAS-based Environmental Monitoring: Improving data collection through a standardised workflow

Unmanned Aerial System photo across the electromagnetic specturm

Unmanned Aerial Systems (UAS) play an increasingly important role in collecting data for environmental monitoring. The primary challenges for UAS in environmental studies include creating consistent, standardised guidelines for data collection and establishing practices that apply to a range of environments. Dr Salvatore Manfreda from the University of Naples Federico II, along with the HARMONIOUS team, identified critical steps in […]

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