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Underwater Robots - Gianluca Antonelli.pdf

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9. Coordinated Control of Platoons ofAUVs<br />

9.1 Introduction<br />

The use of several AUVs to achieve fulfillment ofatask might beofbenefit<br />

in several situations: explorations of areas, de-mining [74], as in un the first<br />

Gulf’s war, or interaction with the environment inwhich the team of AUVs<br />

may, e.g., push an object that one single AUV would not have the power<br />

to move. InFigure 1.6, apossible scenario of mine countermeasure using a<br />

platoon of AUVs under study atthe SACLANT Undersea Research Center<br />

of the North Atlantic Treaty Organization (NATO) is given.<br />

Considering surface marine vehicles, in [155] proposes aleader-follower<br />

formation control algorithm; experiments with one scale vehicle following a<br />

simulated leader are provided. Reference [141] presents anaval minesweeper<br />

platoon in which asupervisor vehicle is in charge of tasking in real-time<br />

the remaining vehicles. Concerning multi-robot systems in general, one of<br />

the first works is reported in[241], where asuccessful group behavior is<br />

achieved by considering only local sensing for each robot. The paper [291] is<br />

an interesting tutorial about control of multi-robot systems in awide sense;<br />

it can be considered as astarting reading tounderstand the nomenclature<br />

and the research subjects on the topic. Since an exhaustive literature survey<br />

is huge it will be simply skipped in this context, focusing our attention on<br />

algorithm developed for the underwater environment.<br />

In particular, the platoons of AUVs experience some specific characteristics;<br />

• The AUVs mathematical models are generally nonholonomic, in fact, in<br />

case of exploration the use of torpedo-like vehicles is of common use;<br />

• In case of AUVs equipped with control surfaces there isasubstantial impossibility<br />

inhovering the vehicle due to the general absence of thrust at<br />

low velocity;<br />

• The communication bandwidth is limited thus inhibiting alarge exchange<br />

of data among the vehicles;<br />

• Localization of the AUVs is not easy due tothe absence of asingle proprioceptive<br />

sensor that gives this information.<br />

Reference [120, 47] reports interesting experimental results on the use of<br />

an underwater glider fleet for adaptive ocean sampling. The sampling, thus,<br />

G. <strong>Antonelli</strong>: <strong>Underwater</strong> <strong>Robots</strong>, 2nd Edition, STAR 2, pp. 225–236, 2006.<br />

© Springer-Verlag Berlin Heidelberg 2006

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