Robohub.org
 

A foldable cargo drone

by
15 September 2017



share this:

The field of drone delivery is currently a big topic in robotics. However, the reason that your internet shopping doesn’t yet arrive via drone is that current flying robots can prove a safety risk to people and are difficult to transport and store.

A team from the Floreano LabNCCR Robotics and EPFL present a new type of cargo drone that is inspired by origami, is lightweight and easily manoeuvrable and uses a foldaway cage to ensure safety and transportability.

A foldable protective cage sits around a multicopter and around the package to be carried, shielding spinning propellers and ensuring safety of all people around it. When the folding cage is opened in order to either load or unload the drone, a safety mechanism ensures that the engine is cut off, meaning that safety is ensured, even with completely untrained users.


But where this drone takes a step forward is in the folding cage, ensuring that it can be easily stowed away and transported. The team took inspiration from the origami folding shelters that have been developed for space exploration and adapted them to create a chinese lantern shape, and instead of using paper, a skeletal structure is created using carbon fibre tubes and 3D printed flexible joints. The cage is opened and closed using a joint mechanism on the top and bottom and pushing apart the resulting gap – in fact, both opening and closing of the cage and be performed in just 1.2 seconds.

By adding such a cage to a multicopter, the team ensure safety for those who come into contact with the drone. The drone can be caught while it’s flying, meaning that it can deliver to people caught in places where landing is hard or even impossible, such as a collapsed building during search and rescue missions, where first aid, medication, water or food may need to be delivered quickly.

Currently, the drone is able to carry 0.5 kg cargo for 2 km, and any visitors to EPFL over this summer would have noticed it being used to transport small items across campus 150 times, but it is hoped that by scaling, it may be able to carry as much as 2 kg over 15 km, a weight and distance that would allow for longer distance deliveries.

Reference:
P.M. Kornatowski, S. Mintchev, and D. Floreano, “An origami-inspired cargo drone”, in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017.



tags: ,


NCCR Robotics





Related posts :



Robot Talk Episode 99 – Joe Wolfel

In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.
22 November 2024, by

Robot Talk Episode 98 – Gabriella Pizzuto

In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.
15 November 2024, by

Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by

Robot Talk Episode 96 – Maria Elena Giannaccini

In the latest episode of the Robot Talk podcast, Claire chatted to Maria Elena Giannaccini from the University of Aberdeen about soft and bioinspired robotics for healthcare and beyond.
01 November 2024, by

Robot Talk Episode 95 – Jonathan Walker

In the latest episode of the Robot Talk podcast, Claire chatted to Jonathan Walker from Innovate UK about translating robotics research into the commercial sector.
25 October 2024, by





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


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association