Fish and robots swimming together: attraction towards the robot demands biomimetic locomotion

The integration of biomimetic robots in a fish school may enable a better understanding of collective behaviour, offering a new experimental method to test group feedback in response to behavioural modulations of its ‘engineered’ member. Here, we analyse a robotic fish and individual golden shiners (Notemigonus crysoleucas) swimming together in a water tunnel at different flow velocities. We determine the positional preference of fish with respect to the robot, and we study the flow structure using a digital particle image velocimetry system. We find that biomimetic locomotion is a determinant of fish preference as fish are more attracted towards the robot when its tail is beating rather than when it is statically immersed in the water as a ‘dummy’. At specific conditions, the fish hold station behind the robot, which may be due to the hydrodynamic advantage obtained by swimming in the robot's wake. This work makes a compelling case for the need of biomimetic locomotion in promoting robot–animal interactions and it strengthens the hypothesis that biomimetic robots can be used to study and modulate collective animal behaviour.

[1]  Robert Gerlai,et al.  Sight of conspecifics as reward in associative learning in zebrafish (Danio rerio) , 2008, Behavioural Brain Research.

[2]  E. Batschelet.  Circular statistics in biology , 1981 .

[3]  George V. Lauder,et al.  Hydrodynamics of Undulatory Propulsion , 2005 .

[4]  S. G. Reebs,et al.  INFLUENCE OF BODY SIZE ON LEADERSHIP IN SHOALS OF GOLDEN SHINERS, NOTEMIGONUS CRYSOLEUCAS , 2001 .

[5]  J. Steffensen,et al.  Intra‐school positional preference and reduced tail beat frequency in trailing positions in schooling roach under experimental conditions , 2003 .

[6]  Fangfang Liu,et al.  Hydrodynamics of an Undulating Fin for a Wave-Like Locomotion System Design , 2012, IEEE/ASME Transactions on Mechatronics.

[7]  Xiaobo Tan,et al.  Modeling of Biomimetic Robotic Fish Propelled by An Ionic Polymer–Metal Composite Caudal Fin , 2010, IEEE/ASME Transactions on Mechatronics.

[8]  R. Johnstone,et al.  Social Feedback and the Emergence of Leaders and Followers , 2009, Current Biology.

[9]  D. Weihs.  Hydromechanics of Fish Schooling , 1973, Nature.

[10]  S. Partan,et al.  Wild tree squirrels respond with multisensory enhancement to conspecific robot alarm behaviour , 2009, Animal Behaviour.

[11]  J. H. Zar,et al.  Biostatistical Analysis (5th Edition) , 1984 .

[12]  J. Godin,et al.  Risk of predation and foraging behaviour in shoaling banded killifish (Fundulus diaphanus) , 1986 .

[13]  David Sumner,et al.  Two circular cylinders in cross-flow: A review , 2010 .

[14]  D. Sumpter.  Collective Animal Behavior , 2010 .

[15]  Paolo Domenici,et al.  Escape manoeuvres of schooling Clupea harengus , 1994 .

[16]  M. Porfiri,et al.  A Particle Image Velocimetry Study of Vibrating Ionic Polymer Metal Composites in Aqueous Environments , 2009, IEEE/ASME Transactions on Mechatronics.

[17]  Donald J. Hall,et al.  Diel Foraging Behavior and Prey Selection in the Golden Shiner (Notemigonus crysoleucas) , 1979 .

[18]  L. Lourenço.  Particle Image Velocimetry , 1989 .

[19]  G. Lauder,et al.  Fish Exploiting Vortices Decrease Muscle Activity , 2003, Science.

[20]  Paolo Domenici,et al.  Behavioural and kinematic components of the fast-start escape response in fish: individual variation and temporal repeatability , 2011, Journal of Experimental Biology.

[21]  T. Pitcher.  Functions of Shoaling Behaviour in Teleosts , 1986 .

[22]  Iain D. Couzin,et al.  A novel method for investigating the collective behaviour of fish: introducing ‘Robofish’ , 2010, Behavioral Ecology and Sociobiology.

[23]  Masashige Taguchi,et al.  Rainbow trout consume less oxygen in turbulence: the energetics of swimming behaviors at different speeds , 2011, Journal of Experimental Biology.

[24]  G. Pyke,et al.  Are animals efficient harvesters? , 1978, Animal Behaviour.

[25]  A. Huth,et al.  The simulation of the movement of fish schools , 1992 .

[26]  E. Sober,et al.  Reviving the superorganism. , 1989, Journal of theoretical biology.

[27]  F. Kaplan,et al.  Social behaviour of dogs encountering AIBO, an animal-like robot in a neutral and in a feeding situation , 2004, Behavioural Processes.

[28]  Paul J. B. Hart,et al.  Quorum decision-making facilitates information transfer in fish shoals , 2008, Proceedings of the National Academy of Sciences.

[29]  Maurizio Porfiri,et al.  Free-Locomotion of Underwater Vehicles Actuated by Ionic Polymer Metal Composites , 2010, IEEE/ASME Transactions on Mechatronics.

[30]  Vladislav Kopman,et al.  A Miniature and Low-Cost Robotic Fish for Ethorobotics Research and Engineering Education: I—Bioinspired Design , 2011 .

[31]  Markus Raffel,et al.  Particle Image Velocimetry: A Practical Guide , 2002 .

[32]  D. Sumpter,et al.  Consensus Decision Making by Fish , 2008, Current Biology.

[33]  Jens Krause,et al.  The relationship between foraging and shoal position in a mixed shoal of roach (Rutilus rutilus) and chub (Leuciscus cephalus): a field study , 1993, Oecologia.

[34]  T. Caraco,et al.  Living in groups: is there an optimal group size? , 1984 .

[35]  S. G. Reebs.  Can a minority of informed leaders determine the foraging movements of a fish shoal? , 2000, Animal Behaviour.

[36]  Marc J. Weissburg,et al.  EDITORIAL: Perspectives on biologically inspired design: introduction to the collected contributions , 2007 .

[37]  F Mondada,et al.  Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices , 2007, Science.

[38]  J. Steffensen,et al.  Aerobic capacity influences the spatial position of individuals within fish schools , 2012, Proceedings of the Royal Society B: Biological Sciences.

[39]  S. G. Reebs,et al.  Individual leadership and boldness in shoals of golden shiners (Notemigonus crysoleucas) , 2006 .

[40]  Brenden P. Epps,et al.  Swimming performance of a biomimetic compliant fish-like robot , 2009 .

[41]  R. R. Krausz.  Living in Groups , 2013 .

[42]  G. Claireaux,et al.  Individual variation and repeatability in aerobic and anaerobic swimming performance of European sea bass, Dicentrarchus labrax , 2010, Journal of Experimental Biology.

[43]  J. Videler.  Fish Swimming , 1993, Springer Netherlands.

[44]  Shelly L. Miller,et al.  Particle Image Velocimetry of Human Cough , 2011 .

[45]  Maurizio Porfiri,et al.  Hydrodynamics of underwater propulsors based on ionic polymer–metal composites: a numerical study , 2009 .

[46]  Stephen Cameron,et al.  Experiments in automatic flock control , 2000, Robotics Auton. Syst..

[47]  Atsuo Takanishi,et al.  Interaction between creature and robot: development of an experiment system for rat and rat robot interaction , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[48]  Anne E. Magurran,et al.  Provenance, shoal size and the sociobiology of predator-evasion behaviour in minnow shoals , 1987, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[49]  George V Lauder,et al.  Hydrodynamics of caudal fin locomotion by chub mackerel, Scomber japonicus (Scombridae). , 2002, The Journal of experimental biology.

[50]  E. DeBlois,et al.  Cross-shoal variability in the feeding habits of migrating Atlantic cod (Gadus morhua) , 1996, Oecologia.

[51]  J. Steffensen,et al.  Energy savings in sea bass swimming in a school : measurements of tail beat frequency and oxygen consumption at different swimming speeds , 1998 .

[52]  Moshe Kiflawi,et al.  Female Leadership During Migration and the Potential for Sex-Specific Benefits of Mass Spawning in the Brown Surgeonfish (Acanthurus nigrofuscus) , 2006, Environmental Biology of Fishes.