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Flying Machine Arena

We have developed a computationally efficient trajectory generator for six degrees-of-freedom multirotor vehicles, i.e. vehicles that can independently control their position and attitude. The trajectory generator is capable of generating approximately 500’000 trajectories per second that guide the multirotor vehicle from any initial state, i.e. position, velocity and attitude, to any desired final state in a given time. In this video, we show an example application that requires the evaluation of a large number of trajectories in real time.

by   -   June 4, 2015

Researchers at ETH Zurich have developed a new algorithm for robustly controlling a tailsitter flying machine in hover position. Using the algorithm, the tailsitter is able to recover from any orientation, including upside down.

by   -   May 5, 2015

High-g-quadrocopter-trainingThis video shows tethered quadrocopters flying steadily together at high speeds exceeding 50 km/h in a confined space. With the tether exerting more than 13 gs of centripetal force, multiple quadrotors are able to fly 1.7m- radius circular trajectories in formation across different orientations in space and then successfully perform a coordinated braking maneuver.

by   -   March 4, 2014


UPDATE 04/03/2014:

In this video update, we show that a quadrocopter can be safely piloted by hand after a motor fails, without the aid of a motion capture system. This follows our previous video, where we demonstrated how a complete propeller failure can be automatically detected, and that a quadrocopter can still maintain stable flight despite the complete loss of a propeller. 

by   -   November 18, 2013


Quadrocopters assembling tensile structures in the ETH Flying Machine Arena. Photo credit: Professorship for Architecture and Digital Fabrication and the Institute for Dynamic Systems and Control, ETH Zurich.

The team at the ETH Flying Machine Arena has released three new videos, demonstrating quadrotors building tensile structures, tossing a ball back and forth, and refining a figure-eight trajectory using iterative learning. Worth the watch!!

by   -   June 11, 2013


Raffaello D’Andrea demos his quadrotor “athletes” at TED Global 2013.
Update with the full video below

Check out live tweets, amazing photos, TED blog posts and awesome video coverage of the session Those Flying Things at this year’s TED Global, featuring the work of automation and controls expert Raffaello D’Andrea, and drone ecologist Lian Pin Koh. We will be adding new material here as it becomes available, so check back soon. Photo credit: James Duncan Davidson.

by and   -   June 11, 2013

With reporting and photos by Dario Brescianini and Mark Mueller and timelapse video by  James Duncan Davidson.

Raffaello D’Andrea juggles quadrotors at TED Global 2013.

A quadrocopter swoops through the air to serve a glass of water without spilling a drop. Another gets two of its propellers cut off, yet still easily flies across the arena. “It looks like magic!” says ETH Zurich‘s Raffaello D’Andrea, but it took a lot of research, hard work and planning to bring this ‘magic trick’ to TED Global.

by   -   November 8, 2012

First person view of the quadrocopter racing through a pylon slalom course.

Manual programming of robots only gets you so far. And, as you can see in the video, for quadrocopters that’s not very far at all (see the “Without Learning” part starting at 1:30):

by   -   September 27, 2012

My colleagues at the ETH Zurich’s Flying Machine Arena have just released a new video. Here is what Robin Ritz, Lead Researcher on the project, has to say about it:

Locus Robotics
May 28, 2017

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