Rise of the Drones
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Investigating the future of unmanned aerial vehicles.
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Matternet: Swapping roads for flying drones

Matternet: Swapping roads for flying drones | Rise of the Drones | Scoop.it
Two start-ups want to replace road transport with internet-style technology and swarms of tiny autonomous helicopters.

 

The Matternet concept grew out of lengthy brainstorming sessions last summer at Singularity University, which is located at the NASA Research Park campus in Silicon Valley. The University was founded by Dr. Peter Diamandis, founder of the X-Prize Foundation, and Dr. Ray Kurzweil, who is known for his work in artificial intelligence and transhumanism.

 

One of those involved in those sessions was Andreas Raptopoulos, an engineer with a life-long love of flying vehicles.

 

"In the course, they asked us to come up with solutions to some of the globe's grand challenges," says Raptopoulos. "And one of those was alleviating poverty."

 

Quadcopter swarm

 

The more the group thought about the problem of poverty, the more they felt it was, in large part, caused by the fact that millions of people are cut off, literally, from the global economy because of a lack of delivery infrastructure.

 

"The concept of using roads to move stuff around is a very, very old concept," Raptopoulos tells me. "The US has now more than  miles of roads. But should Africa try to replicate that? It is expensive, and it destroys the environment."
 
Eventually, the group considered the merits of an unconventional delivery system. Why not, they thought, use a network of unmanned aerial drones to move physical objects the way the internet carries small packets of information through various routes, and then puts all those pieces together again at the end?

 

“That’s when the idea clicked for me,” says Mint Wongviriyawong, who was also a member of the group. “If you could use these UAVs to transport things from point-to-point, you could transport a lot of loads, autonomously, within a shorter time frame, and it could be done cheaply.”

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Drone learns from humans how to navigate a forest - DIY Drones

Drone learns from humans how to navigate a forest - DIY Drones | Rise of the Drones | Scoop.it
From the ROS blog:
The Robotics Institute at CMU has been developing systems to learn from humans. Using a Machine Learning class of techniques called Imitation Learning the group has developed AI software for a small commercially available off-the-shelf ARdrone to autonomously fly through the dense trees for over 3.4 km in experimental runs. They are also developing methods to do longer range planning with such purely vision-guided UAVs. Such technology has a lot of potential impact for surveillance, search and rescue and allowing UAVs to safely share airspace with manned airspace.
ddrrnt's insight:

Watch the video at DIYdrones to see the drone fly through an unstructured environment. 


More re: Autopilot

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New miniature autopilot! Easypilot 3.0 | sUAS News

New miniature autopilot! Easypilot 3.0 | sUAS News | Rise of the Drones | Scoop.it

After a long period of development we are now proud to announce that our brand new NATO STANAG 4586 compliant autopilot, EasyPilot 3.0, is available for sale. Together with our field proven Ground Control Station software, SkyView GCS, it makes a perfect platform to get your unmanned vehicles flying, or improving performance of your current ones.


31 October 2012
By Gary Mortimer

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Drone that can dodge obstacles developed by US scientists

Drone that can dodge obstacles developed by US scientists | Rise of the Drones | Scoop.it

An unmanned drone that can fly around hazards such as trees and poles without human control has been developed, opening the possibility of more autonomous flight.


Now, however, researchers at New York's Cornell University have managed to develop software that will help drones to dodge obstacles.


In the experiments, a miniature helicopter equipped with a camera captures images as it flies. Software developed by assistant professor of computer science Ashutosh Saxena and his team turns the image in the drone's camera into a 3D model of its environment, and the robotic brain then uses an algorithm to determine which objects are obstacles.


In 53 flights in environments full of hazards, the robot managed to find a pathway without crashing into any obstacles - although the final two flights failed due to gusts of wind.


Eventually it is hoped that the drone will be able to calculate wind patterns and avoid moving objects such as birds.


The research is being funded by US Defence agency DARPA and drone-producer Lockheed Martin.


By Ben Bryant

08 Nov 2012

Telegraph.co.uk

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