Published By : 15 Feb 2018 | Published By : QYRESEARCH
Since past several years, a significant evolution has been going on in the field of drone technology. Prominent participants in this program has always been researchers from the Massachusetts Institute of Technology, who recently are working on a developing a new steering mechanism for flying drones.
Drones to Fly with Factors That Deal with Uncertainty
Researchers from MIT have been creating a new system for drones, based on the factor of uncertainty. This system is being developed for steering the drones by making them understand the existence of uncertain variables. In this way, the main aim of the researchers is to make a drone fly without it colliding with any obstacles, and hence enable autonomous flying. This system is based on a complex skeleton, and is called NanoMap. It basically consists of making a drone understand how to find ways in order to shift one point to another. This technique also involves ensuring that the drone does not crash and does not hit random items placed in its way.
According to reliable sources, the drone works by taking depth measurements as it moves along particular pathways. Every time it takes a measurement, and before it moves forward, the drone is programmed to move forwards by contemplating its previous measurements. Doing this has made it possible for the drones to contemplate information about any obstacles that might be present in its current location. By working in this manner, if the drone do not find anything, it just assumes flying in the forward direction. While doing this, it is continuously assessing its surrounding area, while gaining information, in order to avoid hitting any obstacles.
In the current models, the drones require to processes the mapping of their surroundings, before it can assume confidence for moving forward. In this way, the machines are made stronger as they are open for every possibilities, especially uncertainty when it comes to hindrances. The drones have been tested to pass through trees and pillars, wherein they gain information as they are flying, in contrast to others which gain data through time.