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A Bio-inspired Plume Tracking Algorithm for Mobile Sensing Swarms in Turbulent Flow
(Georgia Institute of Technology, 2013-05)
We develop a plume tracking algorithm for a
swarm of mobile sensing agents in turbulent flow. Inspired
by blue crabs, we propose a stochastic model for plume
spikes based on the Poisson counting process, which captures
the ...
A Switching Strategy for Robust Cooperative Exploration
(Georgia Institute of Technology, 2010-12)
This paper develops a switching strategy for networked
mobile sensing agents to automatically decide when
to perform individual exploration and when to perform cooperative
exploration of an unknown scalar field corrupted
by ...