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Tricky Landing


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Students work on their projects in the University of Cincinnati's drone lab

University of Cincinnati researchers are testing how fuzzy logic can help autonomous aerial drones overcome the difficulties of landing on a moving platform.

Credit: UC Magazine

University of Cincinnati (UC) researchers are using a U.S. National Science Foundation grant to test how fuzzy logic helps autonomous aerial drones overcome the difficulties of landing on a moving platform.

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

Fuzzy logic, which the researchers have renamed "genetic-fuzzy" because the system evolves over time and continuously discards lesser solutions, helps the drone make good navigational decisions. The UC researchers utilized genetic-fuzzy logic in a simulation to show it is a perfect system for navigating under dynamic conditions.

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

From UC Magazine
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

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