Recent advances in artificial intelligence (AI) have opened the door for an unprecedented number of uses for unmanned autonomous vehicles (UAVs). Groups of drones now can work together in networks for purposes such as traffic control, smart agriculture, surveillance and security systems, law enforcement, public safety and much more.
However, current drone systems are missing key considerations such as the ability to identify and respond properly to environmental and behavioral factors, says Abolfazl Razi, an assistant professor in the School of Informatics, Computing, and Cyber Systems (SICCS) at Northern Arizona University.