https://youtu.be/3CR5y8qZf0Y
Quadrocopter Ball Juggling, ETH Zurich
Uploaded on Mar 28, 2011
Quote:
Ball juggling experiments with quadrotors in the ETH Flying Machine Arena
By Mark Muller, Sergei Lupashin and Raffaello D'Andrea
Printable View
https://youtu.be/3CR5y8qZf0Y
Quadrocopter Ball Juggling, ETH Zurich
Uploaded on Mar 28, 2011
Quote:
Ball juggling experiments with quadrotors in the ETH Flying Machine Arena
By Mark Muller, Sergei Lupashin and Raffaello D'Andrea
https://youtu.be/cRQ9oVoFI2Y
QuadRotor
Published on Feb 12, 2013
https://youtu.be/bvQuIq8Ho1k
Quadcopter Drone
Published on Dec 14, 2012
Quote:
Quadcopter first flight on a SBRIO-9205 with no feedback.
https://youtu.be/AZ7Xt2b61Us
Nano quadcopter wii
Uploaded on Feb 6, 2011
Article "Tiny flying robots! Meet the quadrotor"
by Jeremy Bradley
May 1, 2013
https://youtu.be/YQIMGV5vtd4
A Swarm of Nano Quadrotors
Uploaded on Jan 31, 2012
Quote:
Experiments performed with a team of nano quadrotors at the GRASP Lab, University of Pennsylvania. Vehicles developed by KMel Robotics. Special thanks to Professor Daniel Lee for his support.
https://youtu.be/hyGJBV1xnJI
Cooperative Quadrocopter Ball Throwing and Catching - IDSC - ETH Zurich
Published on Sep 27, 2012
Quote:
This video was produced by the Institute for Dynamic Systems and Control (IDSC) at ETH Zurich, Switzerland. It shows three quadrocopters cooperatively tossing and catching a ball with the aid of an elastic net.
To toss the ball, the quadrocopters accelerate rapidly outward to stretch the net tight between them and launch the ball up. Notice in the video that the quadrocopters are then pulled forcefully inward by the tension in the elastic net, and must rapidly stabilize in order to avoid a collision. Once recovered, the quadrotors cooperatively position the net below the ball in order to catch it.
Because they are coupled to each other by the net, the quadrocopters experience complex forces that push the vehicles to the limits of their dynamic capabilities. To exploit the full potential of the vehicles under these circumstances requires several novel algorithms, including:
1) an optimality-based real-time trajectory generation algorithm for the catching maneuver;
2) a time-varying trajectory following control strategy to manage the forces on the individual vehicles that are induced by the net; and
3) learning algorithms that compensate for model inaccuracies when aiming the ball.
By Robin Ritz, Mark W. Muller, Markus Hehn, and Raffaello D'Andrea.
IDSC, ETH Zurich, Switzerland
https://youtu.be/pjOcD5DoGUU
George De Bothezat Helicopter
Published on Mar 4, 2012
Quote:
"Jerome-de Bothezat Flying Octopus", 1922
https://youtu.be/H19z1X3V4UQ
Quadcopter Racing with First Person Video!
Published on Nov 26, 2014
Quote:
We've tested different types of quadcopters before, but have never flown them like this! Norm tags along a meetup of local FPV quadcopter racers--people who build and race mini quads by flying them with first-person video cameras. We learn about how FPV quadcopters work, why they're so much fun to spectate, and witness some unbelievable stunts!
https://youtu.be/mtTiPnNUKj8
This autonomous quadcopter has a smartphone for a brain
Published on Jan 30, 2015
Quote:
This drone uses a smartphone for a brain for autonomous flight, using only on-board hardware and vision algorithms, no GPS.