Biologically inspired herding of animal groups by robots

King, Andrew; Portugal, Steven J.; Strömbom, Daniel; Mann, Richard P.; Carrillo, José A.; Kalise, Dante; Croon, Guido de; Barnett, Heather; Scerri, Paul; Groß, Roderich; Chadwick, David R.; Papadopoulou, Marina

doi:10.1111/2041-210x.14049

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Biologically inspired herding of animal groups by robots

Andrew King

, Steven J. Portugal

, Daniel Strömbom, Richard P. Mann, José A. Carrillo, Dante Kalise, Guido de Croon, Heather Barnett, Paul Scerri, Roderich Groß, David R. Chadwick, Marina Papadopoulou

Methods in Ecology and Evolution, Volume: 14, Issue: 2

Swansea University Authors: Andrew King , Marina Papadopoulou

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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.© 2023 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society.
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DOI (Published version): 10.1111/2041-210x.14049

Abstract

A single sheepdog can bring together and manoeuvre hundreds of sheep from one location to another. Engineers and ecologists are fascinated by this sheepdog herding because of the potential it provides for ‘bio-herding’: a biologically inspired herding of animal groups by robots. Although many herdin...

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Published in:	Methods in Ecology and Evolution
ISSN:	2041-210X 2041-210X
Published:	Wiley 2023
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa62182
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first_indexed	2023-01-03T11:45:33Z
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Engineers and ecologists are fascinated by this sheepdog herding because of the potential it provides for ‘bio-herding’: a biologically inspired herding of animal groups by robots. Although many herding algorithms have been proposed, most are studied via simulation.There are a variety of ecological problems where management of wild animal groups is currently impossible, dangerous and/or costly for humans to manage directly, and which may benefit from bio-herding solutions.Unmanned aerial vehicles (UAVs) now deliver significant benefits to the economy and society. Here, we suggest the use of UAVs for bio-herding. Given their mobility and speed, UAVs can be used in a wide range of environments and interact with animal groups at sea, over the land and in the air.We present a potential roadmap for achieving bio-herding using a pair of UAVs. In our framework, one UAV performs ‘surveillance’ of animal groups, informing the movement of a second UAV that herds them. 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spelling	v2 62182 2022-12-16 Biologically inspired herding of animal groups by robots cc115b4bc4672840f960acc1cb078642 0000-0002-6870-9767 Andrew King Andrew King true false a2fe90e37bd6b78c6fdb9e640057c0ea 0000-0002-6478-8365 Marina Papadopoulou Marina Papadopoulou true false 2022-12-16 SBI A single sheepdog can bring together and manoeuvre hundreds of sheep from one location to another. Engineers and ecologists are fascinated by this sheepdog herding because of the potential it provides for ‘bio-herding’: a biologically inspired herding of animal groups by robots. Although many herding algorithms have been proposed, most are studied via simulation.There are a variety of ecological problems where management of wild animal groups is currently impossible, dangerous and/or costly for humans to manage directly, and which may benefit from bio-herding solutions.Unmanned aerial vehicles (UAVs) now deliver significant benefits to the economy and society. Here, we suggest the use of UAVs for bio-herding. Given their mobility and speed, UAVs can be used in a wide range of environments and interact with animal groups at sea, over the land and in the air.We present a potential roadmap for achieving bio-herding using a pair of UAVs. In our framework, one UAV performs ‘surveillance’ of animal groups, informing the movement of a second UAV that herds them. We highlight the promise and flexibility of a paired UAV approach while emphasising its practical and ethical challenges. We start by describing the types of experiments and data required to understand individual and collective responses to UAVs. Next, we describe how to develop appropriate herding algorithms. Finally, we describe the integration of bio-herding algorithms into software and hardware architecture. Journal Article Methods in Ecology and Evolution 14 2 Wiley 2041-210X 2041-210X bio-inspired, biomimetic, herding human–wildlife conflicts, sheepdog surveillance, unmanned aerial vehicles 2 1 2023 2023-01-02 10.1111/2041-210x.14049 Perspective COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University SU Library paid the OA fee (TA Institutional Deal) Office for Naval Research (ONR) Global Grant. Grant Number: N629092112030 2023-06-12T16:26:38.7906013 2022-12-16T09:24:36.0340579 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Andrew King 0000-0002-6870-9767 1 Steven J. Portugal 0000-0002-2438-2352 2 Daniel Strömbom 3 Richard P. Mann 4 José A. Carrillo 5 Dante Kalise 6 Guido de Croon 7 Heather Barnett 8 Paul Scerri 9 Roderich Groß 10 David R. Chadwick 11 Marina Papadopoulou 0000-0002-6478-8365 12 62182__26168__fe99a1e63fdf4162b93ecc7c6295ef3a.pdf 62182.VOR.pdf 2023-01-03T11:43:27.5304812 Output 2080947 application/pdf Version of Record true This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.© 2023 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. true eng http://creativecommons.org/licenses/by/4.0/
title	Biologically inspired herding of animal groups by robots
spellingShingle	Biologically inspired herding of animal groups by robots Andrew King Marina Papadopoulou
title_short	Biologically inspired herding of animal groups by robots
title_full	Biologically inspired herding of animal groups by robots
title_fullStr	Biologically inspired herding of animal groups by robots
title_full_unstemmed	Biologically inspired herding of animal groups by robots
title_sort	Biologically inspired herding of animal groups by robots
author_id_str_mv	cc115b4bc4672840f960acc1cb078642 a2fe90e37bd6b78c6fdb9e640057c0ea
author_id_fullname_str_mv	cc115b4bc4672840f960acc1cb078642_*_Andrew King a2fe90e37bd6b78c6fdb9e640057c0ea_*_Marina Papadopoulou
author	Andrew King Marina Papadopoulou
author2	Andrew King Steven J. Portugal Daniel Strömbom Richard P. Mann José A. Carrillo Dante Kalise Guido de Croon Heather Barnett Paul Scerri Roderich Groß David R. Chadwick Marina Papadopoulou
format	Journal article
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description	A single sheepdog can bring together and manoeuvre hundreds of sheep from one location to another. Engineers and ecologists are fascinated by this sheepdog herding because of the potential it provides for ‘bio-herding’: a biologically inspired herding of animal groups by robots. Although many herding algorithms have been proposed, most are studied via simulation.There are a variety of ecological problems where management of wild animal groups is currently impossible, dangerous and/or costly for humans to manage directly, and which may benefit from bio-herding solutions.Unmanned aerial vehicles (UAVs) now deliver significant benefits to the economy and society. Here, we suggest the use of UAVs for bio-herding. Given their mobility and speed, UAVs can be used in a wide range of environments and interact with animal groups at sea, over the land and in the air.We present a potential roadmap for achieving bio-herding using a pair of UAVs. In our framework, one UAV performs ‘surveillance’ of animal groups, informing the movement of a second UAV that herds them. We highlight the promise and flexibility of a paired UAV approach while emphasising its practical and ethical challenges. We start by describing the types of experiments and data required to understand individual and collective responses to UAVs. Next, we describe how to develop appropriate herding algorithms. Finally, we describe the integration of bio-herding algorithms into software and hardware architecture.
published_date	2023-01-02T16:26:37Z
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Biologically inspired herding of animal groups by robots

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