What if a drone delivers a mouth-watering pizza right in your car as you wait at the red signal and fly ahead? In a bid to make drones technology more potent, a team led by an Indian-origin researcher is teaching unmanned aerial vehicles to land on moving targets.<\/p>\n
\nUsing fuzzy logic, researchers at University of Cincinnati are programming drones so that they can make better navigational decisions on the fly that would eventually make drones autonomous.<\/p>\n
“It’s the only realistic way that drones will have commercially viable uses such as delivering that roll of toilet paper to customers,” said Manish Kumar, associate professor and lead researcher.<\/p>\n
According to Kumar, the problem of drones having difficulty in navigating their ever-changing is compounded when the drone tries to land on a moving platform such as a delivery van or even a US Navy warship pitching in high seas.<\/p>\n
“It has to land within a designated area with a small margin of error. Landing a drone on a moving platform is a very difficult problem scientifically and from an engineering perspective,” Kumar said.<\/p>\n
To address this challenge, the team applied a concept called fuzzy logic that helps the drone make good navigational decisions amid a sea of statistical noise.<\/p>\n
Researchers successfully employed fuzzy logic in a simulation to show it is an ideal system for navigating under dynamic conditions.<\/p>\n
Kumar and co-authors presented the study at the American Institute of Aeronautics and Astronautics’ “SciTech 2017 Conference” held in Texas recently.\u2014IANS<\/p>\n
Image: Alamy<\/p>\n","protected":false},"excerpt":{"rendered":"
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