Aerial robot that can morph in flight

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The Quad-Morphing robot. Credit: Valentin Rivière and Stéphane Viollet, Étienne Jules Marey Institute of Movement Sciences (CNRS / Aix-Marseille Université)

French researchers have drawn inspiration from birds to design an aerial robot capable of altering its profile during flight.

To reduce its wingspan and navigate through tight spaces, it can reorient its arms, which are equipped with propellers that let it fly like a helicopter.

It paves the way for a new generation of large robots that can move through narrow passages, making them ideal for exploration as well as search and rescue missions.

Marking a world first, researchers from the Étienne Jules Marey Institute of Movement Sciences (CNRS / Aix-Marseille Université) have drawn inspiration from birds to design an aerial robot capable of altering its profile during flight.

To reduce its wingspan and navigate through tight spaces, it can reorient its arms, which are equipped with propellers that let it fly like a helicopter.

The scientists’ work is the subject of an article published in Soft Robotics (May 30, 2018).

It paves the way for a new generation of large robots that can move through narrow passages, making them ideal for exploration as well as search and rescue missions.

Birds and winged insects have the remarkable ability to maneuver quickly during flight to clear obstacles.

Such extreme agility is necessary to navigate through cramped spaces and crowded environments, like forests.

There are already miniature flying machines that can roll, pitch, or otherwise alter their flight attitude to pass through small apertures.

But birds illustrate another strategy that is just as effective for flying through bottlenecks.

They can quickly fold their wings during high-speed flight, reducing their imposing span, to easily negotiate the challenging paths before them.

Dubbed Quad-Morphing, the new robot has two rotating arms each equipped with two propellers for helicopter-like flight. A system of elastic and rigid wires allows the robot to change the orientation of its arms in flight so that they are either …

Deployment of aerial robots in constricted and cluttered areas for search and rescue, exploratory, or mapping operations will become more and more commonplace.

They will need to be able to circumnavigate many obstacles and travel through fairly tight passages to complete their missions. Accordingly, researchers from the Étienne Jules Marey Institute of Movement Sciences (CNRS / Aix-Marseille Université) have designed a flying robot that can reduce its wingspan in flight to move through a small opening, without intensive steering that would consume too much energy and require a robotic platform featuring a low-inertia (light and small robot).

Dubbed Quad-Morphing, the new robot has two rotating arms each equipped with two propellers for helicopter-like flight.

A system of elastic and rigid wires allows the robot to change the orientation of its arms in flight so that they are either perpendicular or parallel to its central axis.

It adopts the parallel position, halving its wingspan, to traverse a narrow stretch and then switches back to perpendicular position to stabilize its flight, all while flying at a speed of 9 km/h, which is pretty fast for an aerial robot.

At present, it is the precision of the Quad-Morphing autopilot mechanism that determines the robot’s agility.

The autopilot activates arm reorientation when the robot nears a tight passage, as determined by a 3-D localization system used at the institute.

The researchers have also equipped the robot with a miniature camera that can take 120 pictures per second.

In the future, this will allow Quad-Morphing to independently assess the size of the gap before it and fold its wings accordingly if necessary. Flight testing with the new camera will begin this month.

 Explore further: Bird-like robot perches on a human hand (w/ Video)

More information: Valentin Riviere et al, Agile Robotic Fliers: A Morphing-Based Approach, Soft Robotics (2018).DOI: 10.1089/soro.2017.0120

Provided by CNRS

 

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