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Biologically inspired herding of animal groups by robots

  • Andrew J. King
  • , Steven J. Portugal
  • , Daniel Strombom
  • , Richard P. Mann
  • , Jose A. Carrillo
  • , Daniel Kalise
  • , Guido de Croon
  • , Heather Barnett
  • , Paul Scerri
  • , Roderich Gross
  • , Dave Chadwick
  • , Marina Papadopoulou
  • Royal Holloway, University of London
  • Lafayette College
  • School of Geography, University of Leeds, UK
  • University of Oxford
  • Grand Challenges in Ecosystem and the Environment Initiative, Imperial College London, Silwood Park Campus, Ascot, Berkshire SL5 7PY, UK [email protected].
  • Delft University of Technology
  • Central Saint Martins
  • Perceptronics Solutions, Los Angeles
  • University of Sheffield
  • Swansea University

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

113 Wedi eu Llwytho i Lawr (Pure)

Crynodeb


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.
Iaith wreiddiolSaesneg
Tudalennau (o-i)478-486
Nifer y tudalennau9
CyfnodolynMethods in Ecology and Evolution
Cyfrol14
Rhif cyhoeddi2
Dyddiad ar-lein cynnar2 Ion 2023
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 1 Chwef 2023

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