One of the hurdles with main stream penetration of drones in consumer sector is their inability to successfully navigate and land on their own. This is a hurdle that may be overcome by using fuzzy logic, scientists have revealed.
According to a team of researchers from University of Cincinnati fuzzy logic could be the key that we have been searching for until now to unlock the autonomous navigation and landing puzzle for drones. Researchers say that using fuzzy logic, we can get drones to navigate and land themselves on moving platforms without any help.
For those of you who are not aware, fuzzy logic is a kind of reasoning we employ in our day to day life subconsciously. Fuzzy logic is the thing that allows us to see the world through nuances or degrees of truth, instead of seeing the world in black and white.
Scientists say that using fuzzy logic, drones will be able to make good navigational decisions amid a sea of statistical noise. The way scientists approach the navigation and landing issue of drones is through the use of “genetic-fuzzy” wherein the system evolves over time and continuously discards the lesser solutions.
Scientists have shown through a simulation employing fuzzy logic that it is an ideal system for navigating under dynamic conditions. The team is also putting fuzzy logic to the test in experiments to land quadcopters on robots mounted with landing pads at the university lab.
The problem of drones having difficulty in navigating their ever-changing airspace 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, researchers explained. Here, drones have to land in designated areas where only a small margin of error is allowed and that’s what they are trying to tackle.