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BIAF SIGNED

Bird Inspired Autonomous Flight

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

BIAF project word cloud

Explore the words cloud of the BIAF project. It provides you a very rough idea of what is the project "BIAF" about.

technologies planning tracking found agility inability dynamics robustness gusts develops physically inspired air unmanned trajectory search agile computational alleviate track looks endurance flow speed theory limited discover force practices urban wings scientific algorithms alongside minimise aerodynamics actually flight tolerance efficient autonomous investigation bird shows output rescue dramatically contain tunnel monitoring wing fluid winds gps gust artificial tracks uavs performance airflows functional vehicles arrays sensor biology engineering uses environmental animals operate fly flying birds size wind feathered turbulent first optimization environments interact energy small utility advantage surveillance video

Project "BIAF" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY OF BRISTOL Organization address address: BEACON HOUSE QUEENS ROAD city: BRISTOL postcode: BS8 1QU website: www.bristol.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	1˙998˙546 €
EC max contribution	1˙998˙546 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2015-STG
Funding Scheme	ERC-STG
Starting year	2016
Duration (year-month-day)	from 2016-04-01 to 2021-03-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY OF BRISTOL UNIVERSITY OF BRISTOL Organization address address: BEACON HOUSE QUEENS ROAD city: BRISTOL postcode: BS8 1QU website: www.bristol.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (BRISTOL)	coordinator	1˙998˙546.00

Map

Project objective

The agile and efficient flight of birds shows what flight performance is physically possible, and in theory could be achieved by unmanned air vehicles (UAVs) of the same size. The overall aim of this project is to enhance the performance of small scale UAVs by developing novel technologies inspired by understanding how birds are adapted to interact with airflows. Small UAVs have the potential to dramatically change current practices in many areas such as, search and rescue, surveillance, and environmental monitoring. Currently the utility of these systems is limited by their operational endurance and their inability to operate in strong turbulent winds, especially those that often occur in urban environments. Birds are adapted to be able to fly in these conditions and actually use them to their advantage to minimise their energy output.

This project is composed of three tracks which contain elements of technology development, as well as scientific investigation looking at bird flight behaviour and aerodynamics. The first track looks at developing path planning algorithms for UAVs in urban environments based on how birds fly in these areas, by using GPS tracking and computational fluid dynamics alongside trajectory optimization. The second track aims to develop artificial wings with improved gust tolerance inspired by the features of feathered wings. Here, high speed video measurements of birds flying through gusts will be used alongside wind tunnel testing of artificial wings to discover what features of a bird’s wing help to alleviate gusts. The third track develops novel force and flow sensor arrays for autonomous flight control based on the sensor arrays found in flying animals. These arrays will be used to make UAVs with increased agility and robustness. This unique bird inspired approach uses biology to show what is possible, and engineering to find the features that enable this performance and develop them into functional technologies.

Publications

List of publications.
year	authors and title	journal	last update
2016	Emily L. C. Shepard, Cara Williamson, Shane P. Windsor Fine-scale flight strategies of gulls in urban airflows indicate risk and reward in city living published pages: 20150394, ISSN: 0962-8436, DOI: 10.1098/rstb.2015.0394	Philosophical Transactions of the Royal Society B: Biological Sciences 371/1704	2019-06-19
2019	Kieran T. Wood, Sergio Araujo-Estrada, Thomas Richardson, and Shane Windsor Distributed Pressure Sensingâ€“Based Flight Control for Small Fixed-Wing Unmanned Aerial Systems published pages: In Press, ISSN: 0021-8669, DOI:	Journal of Aircraft	2019-08-05
2019	Nicholas E. Durston, Xue Wan, Jian G. Liu, Shane P. Windsor Avian surface reconstruction in free flight with application to flight stability analysis of a barn owl and peregrine falcon published pages: jeb185488, ISSN: 0022-0949, DOI: 10.1242/jeb.185488	The Journal of Experimental Biology 222/9	2019-08-05

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The information about "BIAF" are provided by the European Opendata Portal: CORDIS opendata.