Robohub.org
 

Watch this omnicopter fetch a ball

by
17 May 2017



share this:

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).



tags: , , , ,


Dario Brescianini began his PhD at the Institute of Dynamic Systems and Control at ETH Zürich.
Dario Brescianini began his PhD at the Institute of Dynamic Systems and Control at ETH Zürich.





Related posts :



How do we control robots on the moon?

In the future, we imagine that teams of robots will explore and develop the surface of nearby planets, moons and asteroids - taking samples, building structures, deploying instruments.
25 September 2022, by , and

Have a say on these robotics solutions before they enter the market!

We have gathered robots which are being developed right now or have just entered the market. We have set these up in a survey style consultation.
24 September 2022, by

Shelf-stocking robots with independent movement

A robot that helps store employees by moving independently through the supermarket and shelving products. According to cognitive robotics researcher Carlos Hernández Corbato, this may be possible in the future. If we engineer the unexpected.
23 September 2022, by

RoboCup humanoid league: Interview with Jasper Güldenstein

We talked to Jasper Güldenstein about how teams transferred developments from the virtual humanoid league to the real-world league.
20 September 2022, by and

Integrated Task and Motion Planning (TAMP) in robotics

In this post we will explore a few things that differentiate TAMP from “plain” task planning, and dive into some detailed examples with the pyrobosim and PDDLStream software tools.
16 September 2022, by
ep.

360

podcast

Building Communities Around AI in Africa, with Benjamin Rosman

Deep Learning Indaba is an organization that empowers and builds communities around Artificial Intelligence and Machine Learning across Africa. Benjamin Rosman dives into how Deep Learning Indaba is impacting these communities.
14 September 2022, by





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association