Robohub.org
ep.

058

podcast
 

Distributed flight array with Raymond Oung


by
13 August 2010



share this:

In this episode, we discover an aerial modular robot called the Distributed Flight Array. To talk about this, we have Raymond Oung from the Swiss Federal Institute of Technology in Zürich.
Then, to celebrate aerial robotics, we’re holding a contest on flying robot noises for a chance to win a WowWee Bladestar.Raymond Oung

Raymond Oung is lead researcher of the Distributed Flight Array project at the Swiss Federal Institute of Technology in Zürich under the supervision of Prof. Raffaello D’Andrea (see previous ROBOTS interview).

The idea behind this project is to design a set of vehicles equipped with a single propeller and wheels that can drive around in search for fellow modules with whom to dock. Single modules are not stable but once assembled, the flight array is able to take-off and achieve coordinated flight. Modules then detach in-air, fall to the floor and repeat their search for other propellers.

The main challenge in this system is to come up with a distributed controller that can allow modules to work together to achieve coordinated flight. Because of its endless number of configurations, the distributed flight array is the perfect research and pedagogical testbed to study control theory for complex systems.

Contest

We were trying to imagine the sound of all of these propellers and then realized it would be fun to record the sound of some of the flying objects here at EPFL. If you manage to match the sound with the correct robot picture, we’ll be sending you a Wowwee Bladestar. If multiple correct answers are received, the winner will be selected randomly. The contest ends on the 27th of August and answers can be sent via email to info@robotspodcast.com or can be posted below this episode in the comments section.

WowWee Bladestar

Audio:

Noises of Flying Robots

Images:

1: Eyebot

2: Airburr

3: SMAV

4: Blimp

5: WowWee DragonFly

6: Eyebot

The correct answer was:
1 -> F
2 -> B
3 -> A
4 -> C
5 -> E
6 -> D

Links:


Latest News:
For more information and videos of Ishiguro’s Telenoid R1 and the F1 Robocoaster in action, have a look at our forum.



tags: , , ,


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.





Related posts :



#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.

AIhub coffee corner: Agentic AI

  15 Aug 2025
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions

and   25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.

#RoboCup2025: social media round-up part 2

  24 Jul 2025
Find out what participants got up to during the second half of RoboCup2025 in Salvador, Brazil.



 

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