Skip to main content

Feathered Flyer: Integrating Morphological Computation and Sensory Reflexes into a Physically Simulated Flapping-Wing Robot for Robust Flight Manoeuvre

  • Conference paper
Advances in Artificial Life (ECAL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4648))

Included in the following conference series:

Abstract

A new biologically inspired approach to a flapping wing controller which benefits from morphological computation and a Reflexive Pattern Generator (RPG) was tested using a simple physically simulated 3D flying robot. In order to tackle the difficulty of generating robust flapping flight and its manoeuvre, the robot employs simplified flexible “feathers” which are modelled as a series of subpanels attached to the wing skeleton using nonlinear angular springs. The neural controller receives sensory inputs from each feather to let them participate in pattern generation, the robot can also “feel” aerodynamic forces on its wings. From the synergy of flexible feathers and their sensory reflexes, the evolved robot exhibited flight manoeuvre using asymmetric wing movements as well as its tail, and rapidly adapted to external disturbances even in the absence of visual sensors. The reduced stiffness in flight control arising from the wing flexibility is discussed.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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.

Similar content being viewed by others

References

  1. Clarke, F., Ekeland, I.: Progress of the REMANTA project on MAV with flapping wings and of the International Universities mini UAV Competition. In: European Micro Air Vehicle Conference and Flight Competition (EMAV), Germany (2006)

    Google Scholar 

  2. Shim, Y.S., Kim, C.H.: Evolving Physically Simulated Flying Creatures for Efficient Cruising. Artificial Life 12, 561–591 (2006)

    Article  Google Scholar 

  3. Shim, Y.S., Kim, S.J., Kim, C.H.: Evolving Flying Creatures with Path-following Behavior. In: The 9th International Conference on the Simulation and Synthesis of Living Systems (ALIFE IX), Boston, MA, pp. 125–132 (2004)

    Google Scholar 

  4. Mouret, J.B., Doncieux, S., Meyer, J.A.: Incremental Evolution of Target-following Neuro-controllers for Flapping-wing Animats. In: Nolfi, S., Baldassarre, G., Calabretta, R., Hallam, J.C.T., Marocco, D., Meyer, J.-A., Miglino, O., Parisi, D. (eds.) SAB 2006. LNCS (LNAI), vol. 4095, pp. 606–618. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Warrick, D.R., Bundle, M.W., Dial, K.P.: Bird Maneuvering Flight: Blurred Bodies, Clear Heads. Integ. And Comp. Biol. 41, 141–148 (2002)

    Article  Google Scholar 

  6. Pfeifer, R., Iida, F.: Morphological Computation: Connecting Body, Brain and Environment. Japanese Scientific Monthly 58, 48–54 (2005)

    Google Scholar 

  7. Gallagher, J.C.: Evolution and Analysis of Non-Autonomous Neural Networks for Walking: Reflexive Pattern Generators. In: Congress on Evolutionary Computation, Seoul, Korea (2001)

    Google Scholar 

  8. Smith, R.: Intelligent Motion Control with an Artificial Cerebellum. Unpublished doctoral dissertation, University of Auckland, New Zealand (1998), ODE engine available at, http://ode.org

  9. Burtt Jr., E.H., Ichida, J.M.: Selection for Feather Structure. Acta Zoologica Sinica 52, 131–135 (2006)

    Google Scholar 

  10. Gewecke, M., Woike, M.: Breast Feathers as an Air-current Sense Organ for the Control of flight Behaviour in a Songbird. Z. Tierpsychol. 47, 293–298 (1978)

    Google Scholar 

  11. Necker, R.: Somatosensory System. In: Physiology and Behavior of the Pigeon, pp. 169–192. Academic Press, London (1983)

    Google Scholar 

  12. Brown, R.E., Fedde, M.R.: Airflow Sensors in the Avian Wing. J. Exp. Biol. 179, 13–30 (1993)

    Google Scholar 

  13. Thomas, A.L.R., Taylor, G.K.: Animal Flight Dynamics I. Stability in Gliding Flight. J. theor. Biol. 212, 399–424 (2001)

    Article  Google Scholar 

  14. Weis-Fogh, T., Jensen, M.: Biology and physics of locust flight I: Basic principles in insect flight. A critical review. Philosophical Transactions of the Royal Society of London B 239, 415–458 (1956)

    Article  Google Scholar 

  15. Beer, R.D.: On the Dynamics of Small Continuous-Time Recurrent Neural Networks. Adaptive Behavior 3, 471–511 (1995)

    Article  Google Scholar 

  16. Mathayomchan, B., Beer, R.D.: Center-crossing Recurrent Neural Networks for the Evolution of Rhythmic Behavior. Neural Computation 14, 2043–2051 (2002)

    Article  MATH  Google Scholar 

  17. Haschke, R., Steil, J.J.: Input Space Bifurcation Manifolds of Recurrent Neural Networks. Neurocomputing 64C, 25–38 (2005)

    Google Scholar 

  18. Husbands, P.: Distributed Coevolutionary Genetic Algorithms for Multi-criteria and Multi-constraint Optimisation. In: Fogarty, T.C. (ed.) Evolutionary Computing. LNCS, vol. 865, pp. 150–165. Springer, Heidelberg (1994)

    Google Scholar 

  19. Taylor, G.K., Thomas, A.L.R.: Animal Flight Dynamics II. Longitudinal Stability in Flapping Flight. J. theor. Biol. 214, 351–370 (2002)

    Article  Google Scholar 

  20. Clark, P.J., Evans, F.C.: Distance to Nearest Neighbor as a Measure of Spatial Relationship in Populations. Ecology 34, 445–453 (1954)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Fernando Almeida e Costa Luis Mateus Rocha Ernesto Costa Inman Harvey António Coutinho

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shim, Y., Husbands, P. (2007). Feathered Flyer: Integrating Morphological Computation and Sensory Reflexes into a Physically Simulated Flapping-Wing Robot for Robust Flight Manoeuvre . In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds) Advances in Artificial Life. ECAL 2007. Lecture Notes in Computer Science(), vol 4648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74913-4_76

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74913-4_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74912-7

  • Online ISBN: 978-3-540-74913-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics