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Correction: Hajieghrary, H.; Mox, D.; Hsieh, M.A. Information Theoretic Source Seeking Strategies for Multiagent Plume Tracking in Turbulent Fields. Journal of Marine Science and Engineering 2017, 5, 3
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Correction published on 5 June 2017, see J. Mar. Sci. Eng. 2017, 5(2), 23.

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J. Mar. Sci. Eng. 2017, 5(1), 3; doi:10.3390/jmse5010003

Information Theoretic Source Seeking Strategies for Multiagent Plume Tracking in Turbulent Fields

SAS Laboratory, Mechanical Engineering & Mechanics Department, Drexel University, Philadelphia, PA 19104, USA
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Academic Editor: Christopher Clark
Received: 31 May 2016 / Revised: 11 November 2016 / Accepted: 28 November 2016 / Published: 12 January 2017
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Abstract

We present information theoretic search strategies for single and multi-robot teams to localize the source of biochemical contaminants in turbulent flows. The robots synthesize the information provided by sporadic and intermittent sensor readings to optimize their exploration strategy. By leveraging the spatio-temporal sensing capabilities of a mobile sensing network, our strategies result in control actions that maximize the information gained by the team while minimizing the time spent localizing the biochemical source. By leveraging the team’s ability to obtain simultaneous measurements at different locations, we show how a multi-robot team is able to speed up the search process resulting in a collaborative information theoretic search strategy. We validate our proposed strategies in both simulations and experiments. View Full-Text
Keywords: multi-agent systems; information theory; distributed control; value of information; collaborative search multi-agent systems; information theory; distributed control; value of information; collaborative search
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Hajieghrary, H.; Mox, D.; Hsieh, M.A. Information Theoretic Source Seeking Strategies for Multiagent Plume Tracking in Turbulent Fields. J. Mar. Sci. Eng. 2017, 5, 3.

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