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Abstract
The use of flying robots (drones) is increasing rapidly, but their utility is limited by high power demand, low specific energy storage, and poor gust tolerance. In contrast, birds demonstrate long endurance, harvesting atmospheric energy in environments ranging from cluttered cityscapes to open landscapes, coasts, and oceans. Here we identify new opportunities for flying robots, drawing upon the soaring flight of birds. We evaluate mechanical energy transfer in soaring from first principles and review soaring strategies encompassing the use of updrafts (thermal or orographic) and wind gradients (spatial or temporal). We examine the extent to which state of-the-art flying robots currently use each strategy, and identify several untapped opportunities including slope soaring over built environments, thermal soaring over oceans, and opportunistic gust soaring. In principle, the energetic benefits of soaring are accessible to flying robots of all kinds, given atmospherically aware sensor systems, guidance strategies and gust tolerance. Hence, whilst there is clear scope for specialist robots that soar like albatrosses, or which use persistent thermals like vultures, the greatest untapped potential may lie in nonspecialist vehicles that make flexible use of atmospheric energy through path planning and flight control, as demonstrated by generalist flyers such as gulls, kites and crows.
| Original language | English |
|---|---|
| Article number | 20220671 |
| Number of pages | 1 |
| Journal | Journal of the Royal Society Interface |
| Volume | 19 |
| Issue number | 196 |
| DOIs | |
| Publication status | Published - 23 Nov 2022 |
Bibliographical note
Funding Information:This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreements nos. 679355 and 682501) and Seventh Framework Programme (grant no. FP7/2007–2013)/ERC grant agreement no. 204513. This work has also received funding from the U.S. Air Force Office for Scientific Research (AFOSR), Defence Science and Technology Group (DSTG), and Defence Science Institute (DSI). Acknowledgements
Publisher Copyright:
© 2022 The Authors.
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- 1 Finished
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BIAF: Flow sensing autonomous systems
Windsor, S. P. (Principal Investigator)
1/04/16 → 31/03/22
Project: Research
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