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Watch this omnicopter fetch a ball

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.

Multirotor vehicle

The multirotor vehicle used in the demonstration is an omni-directional eight-rotor vehicle. Its unique actuator configuration gives it full force and torque authority in all three dimensions, allowing it to fly novel maneuvers. For more details, please refer to the Youtube video or the research paper: “Design, Modeling and Control of an Omni-Directional Aerial Vehicle”, IEEE International Conference on Robotics and Automation (ICRA), 2016.

Researchers

Dario Brescianini and Raffaello D’Andrea
Institute for Dynamic Systems and Control (IDSC), ETH Zurich, Switzerland – http://www.idsc.ethz.ch

Location

Flying Machine Arena, ETH Zurich, Switzerland.

Acknowledgements

This work is supported by and builds upon prior contributions by numerous collaborators in the Flying Machine Arena project. See the list here. This research was supported by the Swiss National Science Foundation (SNSF).

By Dario Brescianini

In 2007, Dario began studying Mechanical Engineering at ETH Zürich (Switzerland), receiving an Outstanding Bachelor Award for the best first year examinations and bachelor degree. During his master studies, he focused on control theory and mechanical systems and was awarded the Willi Studer prize 2013 for the best master degree in Mechanical Engineering. His master thesis "Quadrocopter Pole Acrobatics" received extensive media coverage. In April 2013, Dario began his PhD at the Institute of Dynamic Systems and Control at ETH Zürich under the supervision of Professor Raffaello D'Andrea. His research is carried out in the Flying Machine Arena.