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Scientists train drones to land on moving targets
by Brooks Hays
Cincinnati (UPI) Feb 23, 2017


U.S. Navy's wingman drone technology used in combat trials
Washington (UPI) Feb 23, 2017 - U.S. Navy research teams recently completed combat trials with the branch's Tactical Battle Manager system using unmanned aerial vehicles.

The Tactical Battle Manager system, or TBM, is a software platform designed to coordinate combat missions using "wingman" UAVs to assist manned and unmanned teams in combat. Researchers tested the system in a simulated beyond-visual-range combat scenario.

The U.S. Naval Research Laboratory collaborated with the Naval Air Systems Command, the Navy Center for Applied Research in Artificial Intelligence and the Air Force Research Laboratory for the trials.

During the tests, operators controlled a lead air vehicle and communicated with autonomous agents controlled by the TBM.

"The main idea here is if the UAV/wingman is left to its own devices, it has the ability to recognize when or how to change its goal or objective as the mission scenario unfolds," NCARAI head Dr. David W. Aha said in a press release. "While some systems allow users to insert new goals or pre-program the selection of new goals, goal reasoning agents can dynamically select new goals to pursue that are not pre-programmed."

Researchers integrated the TBM with the Air Force's Analytical Framework for Simulation, Integration and Modeling system, or AFSIM, in addition to NAVAIR's Next Generation Threat System, or NGTS. The devices are designed to simulate air, land and surface platforms for virtual training and testing purposes.

Scientists at the University of Cincinnati successfully trained drones to autonomously land on moving targets. Researchers say "fuzzy logic" was the key to their success.

Landing a drone on a moving target requires precision.

"It has to land within a designated area with a small margin of error," Manish Kumar, associate professor of mechanical engineering at the University of Cincinnati, said in a news release.

"Landing a drone on a moving platform is a very difficult problem scientifically and from an engineering perspective."

Such precision is difficult, so researchers looked to conquer the feat with a looser approach. "Fuzzy logic" describes a foil to exactness; it describes the use of generalities and educated guesses. Whereas exactitude leaves no margin for error, fuzzy logic allows for nuance and shades of accuracy.

"In linguistic terms, we say large, medium and small rather than defining exact sets," Kumar said. "We want to translate this kind of fuzzy reasoning used in humans to control systems."

When incorporated into an algorithm for drone navigation, fuzzy logic become "genetic logic." It allows the system to constantly evolve and throw out the least useful solutions.

Researchers used their new software to land quadcopters on landing pads mounted on moving robots. They named their fuzzy logic-based system ALPHA.

"Compared to other state-of-the-art techniques of adaptive thinking and deep learning, our approach appears to possess several advantages," said Kelly Cohen, aerospace engineering professor. "Genetic fuzzy is scalable, adaptable and very robust."

Researchers say their work could be used to land drones on aircraft carriers.

"This landing project is a real-world problem," said researcher Nicklas Stockton. "A delivery vehicle could have a companion drone make deliveries and land itself."

UAV NEWS
Israeli warplanes shoot down Hamas drone: army
Jerusalem (AFP) Feb 23, 2017
Israeli warplanes on Thursday shot down over the Mediterranean a drone controlled by the Gaza Strip's Islamist rulers Hamas, the army said. "An (Israeli) fighter aircraft shot down a Hamas-owned unmanned aircraft flown from the Gaza Strip to the Mediterranean," an army spokeswoman said. The drone fell into the sea without entering Israeli territory, she added. "The Israeli army will ... read more

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