AI learned to control a drone in an unfamiliar space

US engineers have taught AI to fly drones in unfamiliar or tight spaces. Devices will not hurt each other even in a small room.

Researchers at the California Institute of Technology have unveiled a new way to fly drones in unfamiliar space. They have developed a machine-learning algorithm that allows even multiple devices to autonomously navigate themselves in tight and unfamiliar spaces. The system gives each drone a certain degree of independence, which allows it to adapt to a changing environment.

Instead of relying on maps or routes from other drones, the new model allows each vehicle to independently navigate in a given space, even if it coordinates with others. This decentralized model helps drones to improvise and makes it easier to operate drones since the computation is distributed among many robots.

An optional tracking controller helps drones compensate for aerodynamic interactions. In preliminary tests, the controller turned out to be more efficient than analogs.

This technique can be used in search and rescue operations where drones can safely sweep areas in flocks, while autonomous units can minimize traffic jams and collisions. The researchers warn that the method needs to be tested in laboratories, but in a couple of years, this model could be commercialized.

If you have found a spelling error, please, notify us by selecting that text and pressing Ctrl+Enter.

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Author: John Kessler
Graduated From the Massachusetts Institute of Technology. Previously, worked in various little-known media. Currently is an expert, editor and developer of Free News.
Function: Director
John Kessler

Spelling error report

The following text will be sent to our editors:

29 number 0.251082 time