Document Detail

Bioinspired algorithm for autonomous sensor-driven guidance in turbulent chemical plumes.
MedLine Citation:
PMID:  22728917     Owner:  NLM     Status:  Publisher    
We designed and implemented a control algorithm for sensor-mediated chemical plume tracking in a turbulent flow environment. In our design, we focused on development of a signal processing strategy capable of replicating behavioral responses of actively tracking blue crabs (Callinectes sapidus) to chemical stimuli. The control algorithm is evaluated in a hardware platform that allows motion in two directions (i.e. forward-back and left-right). The geometric arrangement of the sensor array is inspired by the location of blue crab sensor populations. Upstream motion is induced by a binary response to supra-threshold spikes of concentration, and cross-stream steering is controlled by contrast between bilaterally-separated sensors. Like animal strategies, the developed control algorithm is dynamic. This property allows the algorithm to function effectively in the highly irregular turbulent environment and produces adaptive adjustments of motion to minimize the distance to the source of a plume. Tracking trials indicate that roughly 80% of the tracks successfully stop near the plume source location. Both success rate and movement patterns of the tracker compare favorably to that of blue crabs searching for odorant plume sources, thus suggesting that our sensory-mediated behavior hypothesis are generally accurate and that the associated tracking mechanisms may be successfully implemented in hardware.
D R Webster; K Y Volyanskyy; M J Weissburg
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-25
Journal Detail:
Title:  Bioinspiration & biomimetics     Volume:  7     ISSN:  1748-3190     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101292902     Medline TA:  Bioinspir Biomim     Country:  -    
Other Details:
Languages:  ENG     Pagination:  036023     Citation Subset:  -    
School of Civil & Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Drive, Atlanta, GA 30332, USA.
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