[Abstract] U.S. universities use the "fuzzy logic" technology to command UAVs and let it land on mobile platforms successfully.

Tencent Digital (An An) Scientists from the University of Cincinnati in the United States succeeded in landing a drone on a moving target. The researchers believe that the reason for the success of the experiment is mainly due to the use of "fuzzy logic" technology.

To make a drone land on a moving target, it must be highly accurate.

The drone must land in the designated area and the deviation cannot be too great. From a scientific and engineering point of view, it is quite difficult for a drone to land on a mobile platform.

Accuracy is the most difficult problem to solve. "Fuzzy Logic" points the direction for researchers, and "fuzzy logic" makes use of rough and well-founded guesses. The “precision” requirement cannot have any error, fuzzy logic is not the same, it allows subtle differences, and the accuracy requirement is not so high.

When combined with drone navigation algorithms, fuzzy logic becomes the logic of occurrence. The system can evolve continuously to provide the most useful solution. The researchers used new software to control drones landing on landing pads that were mounted on mobile robots. Researchers have developed their own fuzzy logic system called ALPHA.

Some cutting-edge technologies can be adaptive thinking and have embedded deep learning techniques. Compared with these technologies, the University of Cincinnati has some advantages in its technology: the fuzzy occurrence logic can be extended, adaptable, and very robust.

New technology can park drones on aircraft carriers. It is very important that the drone lands. There are many occasions in the real world that need to use this technology. For example, a drone matching the drone can deliver goods and then land automatically.

Source: upi

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