Print Email Facebook Twitter Biologically inspired herding of animal groups by robots Title Biologically inspired herding of animal groups by robots Author King, Andrew J. (Swansea University) Portugal, Steven J. (Royal Holloway University of London) Strömbom, Daniel (Lafayette College) Mann, Richard P. (University of Leeds) Carrillo, José A. (University of Oxford) Kalise, Dante (Imperial College London) de Croon, G.C.H.E. (TU Delft Control & Simulation) Barnett, Heather (Central Saint Martins) Scerri, Paul (Perceptronics Solutions) Date 2023 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 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. Subject bio-inspiredbiomimeticherdinghuman–wildlife conflictssheepdogsurveillanceunmanned aerial vehicles To reference this document use: http://resolver.tudelft.nl/uuid:ee1fa5db-82ce-49cc-a721-188a0dd6c194 DOI https://doi.org/10.1111/2041-210X.14049 ISSN 2041-210X Source Methods in Ecology and Evolution, 14 (2), 478-486 Part of collection Institutional Repository Document type journal article Rights © 2023 Andrew J. King, Steven J. Portugal, Daniel Strömbom, Richard P. Mann, José A. Carrillo, Dante Kalise, G.C.H.E. de Croon, Heather Barnett, Paul Scerri, More Authors Files PDF Methods_Ecol_Evol_2023_Ki ... robots.pdf 2.15 MB Close viewer /islandora/object/uuid:ee1fa5db-82ce-49cc-a721-188a0dd6c194/datastream/OBJ/view