Paper
22 May 2006 Bio-inspired odor-based navigation
Author Affiliations +
Abstract
The ability of many insects, especially moths, to locate either food or a member of the opposite sex is an amazing achievement. There are numerous scenarios where having this ability embedded into ground-based or aerial vehicles would be invaluable. This paper presents results from a 3-D computer simulation of an Unmanned Aerial Vehicle (UAV) autonomously tracking a chemical plume to its source. The simulation study includes a simulated dynamic chemical plume, 6-degree of freedom, nonlinear aircraft model, and a bio-inspired navigation algorithm. The emphasis of this paper is the development and analysis of the navigation algorithm. The foundation of this algorithm is a fuzzy controller designed to categorize where in the plume the aircraft is located: coming into the plume, in the plume, exiting the plume, or out of the plume.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maynard J. Porter III and Juan R. Vasquez "Bio-inspired odor-based navigation", Proc. SPIE 6228, Modeling and Simulation for Military Applications, 62280V (22 May 2006); https://doi.org/10.1117/12.665842
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Cited by 1 scholarly publication.
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KEYWORDS
Unmanned aerial vehicles

Sensors

Detection and tracking algorithms

Fourier transforms

Algorithm development

Monte Carlo methods

Scanning tunneling microscopy

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