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DOE OSTI · 1569338

Dragonfly-Inspired Algorithms for Intercept Trajectory Planning

Chance, Frances S.
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Abstract

Dragonflies are known to be highly successful hunters (achieving 90-95% success rate in nature) that implement a guidance law like proportional navigation to intercept their prey. This project tested the hypothesis that dragonflies are able to implement proportional navigation using prey-image translation on their eyes. The model dragonfly presented here calculates changes in pitch and yaw to maintain the prey's image at a designated location (the fovea) on a two-dimensional screen (the model's eyes ). When the model also uses self-knowledge of its own maneuvers as an error signal to adjust the location of the fovea, its interception trajectory becomes equivalent to proportional navigation. I also show that this model can also be applied successfully (in a limited number of scenarios) against maneuvering prey. My results provide a proof-of-concept demonstration of the potential of using the dragonfly nervous system to design a robust interception algorithm for implementation on a man-made system.

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59 BASIC BIOLOGICAL SCIENCES97 MATHEMATICS AND COMPUTING

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BibTeXRIS

Chance, Frances S.. 2019-09-01. Dragonfly-Inspired Algorithms for Intercept Trajectory Planning. https://doi.org/10.2172/1569338

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