Self-flying glider 'learns' to soar like a bird

Self-flying glider 'learns' to soar like a bird
The glider soaring autonomously in the field. Credit: Gautam Reddy and Jerome Wong-Ng

Scientists have created a self-flying glider that uses machine learning to navigate rising air currents, in an experiment that could help our understanding of how birds migrate.

Soaring birds ride warm air passages known as thermals to fly and gain height without needing to flap their wings, although no one knows exactly how they do it.

To gain insight into what cues birds instinctively use to catch an updraught, researchers from the University of California San Diego equipped a pilotless glider with an on-board computer allowing it to change direction on the basis of real-time measurements.

To help navigate the ever-changing environment, they used machine learning—the glider, which has a wingspan of two metres (six feet), in effect teaches itself how to fly by evaluating each variation in air currents and receiving a reward for every "correct" decision that resulted in increased altitude.

In a study published Wednesday in the journal Nature, the team reported that after just 15 hours of test flights, the glider had "learned" how to optimise its position and developed a strategy to catch the warm updraughts.

"We find it very impressive as the glider had no prior knowledge about atmospheric physics or aerodynamics," Massimo Vergassola, lead study author, told AFP.

Physicists train robotic gliders to soar like birds
Graphic depicts: (a) A trajectory of the glider soaring in Poway, California; (b) a cartoon of the glider showing the vertical wind currents and torque experienced by the glider; (c) the vertical component of the wind velocity (blue) and the vertical wind accelerations (red) experienced by the glider during a typical flight session; (d) the bank angle of the glider during the same flight session as (c) and the corresponding torque experienced by the glider. Credit: Gautam Reddy

Whereas several other studies have shown how fast machines can learn strategies or form algorithms to solve complex problems, thermal updrafts change nearly constantly, making the gliders' task extra taxing.

By studying how the glider learned to respond to physical stimulus in flight, Vergassola and his colleagues believe that birds might also take certain physical and visual clues to help them climb thermals, saving vital energy needed for long migrations.

Physicists train robotic gliders to soar like birds
Close-up of one of the gliders, grounded, used in the research. Credit: Gautam Reddy

Species such as the bar-tailed godwit and shorebird, that can fly upward of 11,500 kilometres (7,145 miles) without stopping, would not be able to do so without these skills.

"The ('s) strategy shows quite good performance in ever-changing aerial environments," Vergassola said.

Physicists train robotic gliders to soar like birds
Bird and glider in tandem flight. Credit: Phil Richardson, © Woods Hole Oceanographic Institution

"We believe that soaring could in fact perform more complex planning computations or use additional navigational cues, such as clouds."


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More information: Gautam Reddy et al. Glider soaring via reinforcement learning in the field, Nature (2018). DOI: 10.1038/s41586-018-0533-0
Journal information: Nature

© 2018 AFP

Citation: Self-flying glider 'learns' to soar like a bird (2018, September 19) retrieved 21 August 2019 from https://techxplore.com/news/2018-09-self-flying-glider-soar-bird.html
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