New foldable drone flies through narrow holes in rescue missions
A research team from the University of Zurich and EPFL have developed a new drone that can retract its propeller arms in flight and make itself small to fit through narrow gaps and holes. This is particularly useful when searching for victims of natural disasters.
Inspecting a damaged building after an earthquake or during a fire is exactly the kind of job that human rescuers would like drones to do for them. A flying robot could look for people trapped inside and guide the rescue team towards them. But the drone would often have to enter the building through a crack in a wall, a partially open window, or through bars – something the typical size of a drone does not allow.
To solve this problem, researchers from the Robotics and Perception Group at the University of Zurich and the Laboratory of Intelligent Systems at EPFL School of Engineering created a new kind of drone. Both groups are part of the National Centre of Competence in Research (NCCR) Robotics funded by the Swiss National Science Foundation. Inspired by birds that fold their wings in mid-air to cross narrow passages, the new drone can squeeze itself to pass through gaps and then go back to its previous shape, all the while continuing to fly. And it can even hold and transport objects along the way.
Mobile arms can fold around the main frame
“Our solution is quite simple from a mechanical point of view, but it is very versatile and very autonomous, with onboard perception and control systems,” explains Davide Falanga, researcher at the University of Zurich and the paper’s first author. In comparison to other drones, this morphing drone can maneuver in tight spaces and guarantee a stable flight at all times.
The Zurich and Lausanne teams worked in collaboration and designed a quadrotor with four propellers that rotate independently, mounted on mobile arms that can fold around the main frame thanks to servo-motors. The ace in the hole is a control system that adapts in real time to any new position of the arms, adjusting the thrust of the propellers as the center of gravity shifts.
“The morphing drone can adopt different configurations according to what is needed in the field,” adds Stefano Mintchev, co-author and researcher at the EPFL School of Engineering. The standard configuration is X-shaped, with the four arms stretched out and the propellers at the widest possible distance from each other. When faced with a narrow passage, the drone can switch to a “H” shape, with all arms lined up along one axis or to a “O” shape, with all arms folded as close as possible to the body. A “T” shape can be used to bring the onboard camera mounted on the central frame as close as possible to objects that the drone needs to inspect.
First step to fully autonomous rescue searches
In the future, the researchers hope to further improve the drone structure so that it can fold in all three dimensions. Most importantly, they want to develop algorithms that will make the drone truly autonomous, allowing it to look for passages in a real disaster scenario and automatically choose the best way to pass through them. “The final goal is to give the drone a high-level instruction such as ‘enter that building, inspect every room and come back’ and let it figure out by itself how to do it,” says Falanga.
Prof. Dario Floreano, EPFL, Laboratory of Intelligent Systems
Phone: +41 21 693 52 30 / Email: [email protected]
Stefano Mintchev, EPFL, Laboratory of Intelligent Systems
Phone: +41 21 693 05 91 / Email: [email protected]
Contacts: University of Zurich
Prof. Dr. Davide Scaramuzza, University of Zurich, Director of the Robotics and Perception Group
Tel: +41 44 635 24 07 / E-Mail: [email protected]
Media Relations, University of Zurich
Phone. +41 44 634 44 67 / E-mail: [email protected]
Picture: © University of Zurich/Armasuisse
Davide Falanga, Kevin Kleber, Stefano Mintchev, Dario Floreano, Davide Scaramuzza.
The Foldable Drone: A Morphing Quadrotor that can Squeeze and Fly- IEEE Robotics and Automation Letter, 10 December 2018. DOI: 10.1109/LRA.2018.2885575
Paper preprint (free of charge): http://rpg.ifi.uzh.ch/docs/RAL18_Falanga.pdf