Skip to main content

Blending in with the Shoal: Robotic Fish Swarms for Investigating Strategies of Group Formation in Guppies

  • Conference paper
Biomimetic and Biohybrid Systems (Living Machines 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8608))

Included in the following conference series:

Abstract

Robotic fish that dynamically interact with live fish shoals dramatically augment the toolset of behavioral biologists. We have developed a system of biomimetic fish for the investigation of collective behavior in Guppies and similarly small fish. This contribution presents full implementation details of the system and promising experimental results. Over long durations our robots are able to integrate themselves into shoals or recruit the group to exposed locations that are usually avoided. This system is the first open-source project for both software and hardware components and is supposed to facilitate research in the emerging field of bio-hybrid societies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Halloy, J., Sempo, G., Caprari, G., Rivault, C., Asadpour, M., Tache, F., Said, I., Durier, V., Canonge, S., Ame, J., et al.: Social integration of robots into groups of cockroaches to control self-organized choices. Science 318(5853), 1155–1158 (2007)

    Article  Google Scholar 

  2. Landgraf, T., Oertel, M., Rhiel, D., Rojas, R.: A biomimetic honeybee robot for the analysis of the honeybee dance communication system. In: IROS, pp. 3097–3102 (2010)

    Google Scholar 

  3. Patricelli, G.L., Uy, J.A.C., Walsh, G., Borgia, G.: Sexual selection: male displays adjusted to female’s response. Nature 415(6869), 279–280 (2002)

    Article  Google Scholar 

  4. Faria, J.J., Dyer, J.R., Clément, R.O., Couzin, I.D., Holt, N., Ward, A.J., Waters, D., Krause, J.: A novel method for investigating the collective behaviour of fish: introducing ‘robofish’. Behavioral Ecology and Sociobiology 64(8), 1211–1218 (2010)

    Article  Google Scholar 

  5. Krause, J., Winfield, A.F., Deneubourg, J.L.: Interactive robots in experimental biology. Trends in Ecology & Evolution 26(7), 369–375 (2011)

    Article  Google Scholar 

  6. Mitri, S., Wischmann, S., Floreano, D., Keller, L.: Using robots to understand social behaviour. Biological Reviews 88(1), 31–39 (2013)

    Article  Google Scholar 

  7. Bonnet, F., Rétornaz, P., Halloy, J., Gribovskiy, A., Mondada, F.: Development of a mobile robot to study the collective behavior of zebrafish. In: 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp. 437–442. IEEE (2012)

    Google Scholar 

  8. Swain, D.T., Couzin, I.D., Leonard, N.E.: Real-time feedback-controlled robotic fish for behavioral experiments with fish schools. Proceedings of the IEEE 100(1), 150–163 (2012)

    Article  Google Scholar 

  9. Landgraf, T., Nguyen, H., Forgo, S., Schneider, J., Schröer, J., Krüger, C., Matzke, H., Clément, R.O., Krause, J., Rojas, R.: Interactive robotic fish for the analysis of swarm behavior. In: Tan, Y., Shi, Y., Mo, H. (eds.) ICSI 2013, Part I. LNCS, vol. 7928, pp. 1–10. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  10. Zivkovic, Z., van der Heijden, F.: Recursive unsupervised learning of finite mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(5), 651–656 (2004)

    Article  Google Scholar 

  11. Isard, M., Blake, A.: Condensation conditional density propagation for visual tracking. International Journal of Computer Vision 29(1), 5–28 (1998)

    Article  Google Scholar 

  12. Couzin, I.D., Krause, J., James, R., Ruxton, G.D., Franks, N.R.: Collective memory and spatial sorting in animal groups. Journal of Theoretical Biology 218(1), 1–11 (2002)

    Article  MathSciNet  Google Scholar 

  13. Landgraf, T., Nguyen, H., Schröer, J., Szengel, A.: Robo Fish LM 2014 Videos (2014), http://robofish.mi.fu-berlin.de/videos/lm2014

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Landgraf, T. et al. (2014). Blending in with the Shoal: Robotic Fish Swarms for Investigating Strategies of Group Formation in Guppies. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2014. Lecture Notes in Computer Science(), vol 8608. Springer, Cham. https://doi.org/10.1007/978-3-319-09435-9_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09435-9_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09434-2

  • Online ISBN: 978-3-319-09435-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics