Abstract
Flying insects use highly efficient visual strategies to control their selfmotion in three-dimensional space. We present a biologically inspired, minimalistic model for visual flight control in an autonomous agent. Large, specialized receptive fields exploit the distribution of local intensities and local motion in an omnidirectional field of view, extracting the information required for attitude control, course stabilization, obstacle avoidance, and altitude control. In openloop simulations, recordings from each control mechanism robustly indicate the sign of attitude angles, self-rotation, obstacle direction and altitude deviation, respectively. Closed-loop experiments show that these signals are sufficient for three-dimensional flight stabilization with six degrees of freedom.
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References
Egelhaaf, M., Borst, A. (1993). Movement detection in arthropods. In F.A. Miles & J. Wallman (Eds.), Visual motion and its role in the stabilization of gaze, 53–77. Amsterdam: Elsevier.
Franz, M.O., Neumann, T.R., Plagge, M., Mallot, H.A., Zell, A. (1999). Can fly tangential neurons be used to estimate self-motion? Proceedings of the 9th international conference on artificial neural networks ICANN99, 994–999. Berlin: Springer Verlag.
Götz, K.G. (1968). Flight control in Drosophila by visual perception of motion. Kybernetik 4(6), 199–208.
Hengstenberg, R., Sandeman, D.C., Hengstenberg, B. (1986). Compensatory head roll in the blowfly Calliphora during flight. Proc. R. Soc. Lond., B 227, 455–482.
Huber, S.A., Bülthoff, H.H. (1997). Modeling obstacle avoidance behavior of flies using an adaptive autonomous agent. Proceedings of the 7th international conference on artificial neural networks ICANN97, 709–714. Berlin: Springer Verlag.
Koenderink, J.J., van Doorn, A.J. (1987). Facts on optic flow. Biol. Cybern., 56, 247–254.
Mura, F., Franceschini, N. (1994). Visual control of altitude and speed in a flying agent. In D. Cliff, P. Husbands, J.-A. Meyer, & S.W. Wilson (Eds.), From Animals to Animats 3:Proceedings of the third international conference on simulation of adaptive behavior SAB94, 91–99. Cambridge, MA: MIT Press/Bradford Books.
Nachtigall, W (1968). Insects in Flight. New York: McGraw-Hill.
Srinivasan, M.V., Chahl, J.S., Weber, K., Venkatesh, S., Nagle, M.G., Zhang, S.W. (1999). Robot navigation inspired by principles of insect vision. Robotics and Autonomous Systems, 26, 203–216.
Srinivasan, M.V., Zhang, S.W., Chahl, J.S., Barth, E., Venkatesh, S. (2000). How honeybees make grazing landings on flat surfaces. Biol. Cybern., 83, 171–183.
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Neumann, T.R., Bülthoff, H.H. (2001). Insect Inspired Visual Control of Translatory Flight. In: Kelemen, J., Sosík, P. (eds) Advances in Artificial Life. ECAL 2001. Lecture Notes in Computer Science(), vol 2159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44811-X_71
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DOI: https://doi.org/10.1007/3-540-44811-X_71
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