Robohub.org
 

Flying Ring robot can fly on its side


by
09 August 2016



share this:
The Flying Ring in action. Source: Rajan Gill/YouTube

The Flying Ring in action. Source: Rajan Gill/YouTube

The Flying Ring is a new flying vehicle being developed at the Institute for Dynamic Systems and Control, ETH Zurich. The goal of the project is to fully characterize all aerodynamic properties of the vehicle. While traditional quadcopters are agile and carry high payloads they are not efficient in forward flight, with traditional lift to drag ratios comparable to a fruit fly. The Flying Ring vehicle, however, can fly on its side, allowing the blades to propel it forward faster than a typical quadcopter.

The video depicts the first prototype flying tethered. The annular wing (or ring) has a flat airfoil shape, which also covers the propellers and enhances human safety. These autonomous controlled flights help extract aerodynamic properties of the vehicle. A lift to drag ratio (which is a metric for aerodynamic efficiency) of 12 is achieved for the ring only. The total vehicle lift to drag ratio is lower, but can be substantially improved upon with an optimized design. Further details will be submitted to a future conference or research journal.

Why is the Flying Ring tethered? Flying tethered is an important part of the test, as it is used to characterize the steady state operating conditions at various flight speeds in a tight space, namely:

  • Thrust of the propeller in forward flight
  • Analysing annular wing lift and drag
  • Evaluating body drag

In terms of structure, the vehicle is a standard quadrotor configuration. It has depron foam sheet attached via zip ties to the four motor mount arms, with black carbon slab wrapped around the foam.

Solidworks render of the vehicle, Flying Ring. Photo credit: Rajan Gill

Solidworks render of the vehicle, Flying Ring. Photo credit: Rajan Gill

Links to other videos shown:
Quadrotor pole acrobatics
Cooperative quadrotor ball throwing and catching
Onboard quadrocopter failsafe: flight after actuator failure
Flying Robots, Builders of tomorrow

Researchers
Rajan Gill and Raffaello D’Andrea
Institute for Dynamic Systems and Control (IDSC), ETH Zurich, Switzerland
ETH Zurich, Flying Machine Arena

Acknowledgments
This work is supported by and builds upon prior contributions by numerous collaborators in the Flying Machine Arena project.

This research was funded in part by the National Research Council of Canada (NSERC) and the Swiss National Science Foundation (SNSF).


If you enjoyed this article, you may also want to read:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , ,


Rajan Gill is currently a Ph.D. candidate at the Swiss Federal Institute of Technology in Zurich (ETH Zurich) in the area of design and control of flying vehicles.
Rajan Gill is currently a Ph.D. candidate at the Swiss Federal Institute of Technology in Zurich (ETH Zurich) in the area of design and control of flying vehicles.





Related posts :



Women in robotics you need to know about 2025

  06 Oct 2025
This global list celebrates women's impact across the robotics ecosystem and globe.

Robot Talk Episode 127 – Robots exploring other planets, with Frances Zhu

  03 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Frances Zhu from the Colorado School of Mines about intelligent robotic systems for space exploration.

Rethinking how robots move: Light and AI drive precise motion in soft robotic arm

  01 Oct 2025
Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks.

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

and   25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.

Drones and Droids: a co-operative strategy game

  22 Sep 2025
Scottish Association for Marine Science is running a crowdfunding campaign for educational card game.

Call for AAAI educational AI videos

  22 Sep 2025
Submit your contributions by 30 November 2025.

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

  19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence