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<div class=""><span style="font-family: ArialMT; background-color: rgb(255, 255, 255);" class="">Please, accept our apologies in case of multiple copies of this CFP. </span></div>
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<div class="">Special issue in Frontiers in Robotics and AI on "Multi-Swarms of Unmanned Autonomous Systems"</div>
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<div class=""><a href="https://www.frontiersin.org/research-topics/12547/multi-swarms-of-unmanned-autonomous-systems" class="">https://www.frontiersin.org/research-topics/12547/multi-swarms-of-unmanned-autonomous-systems</a> </div>
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<span class="" style="-webkit-font-kerning: none; background-color: rgb(255, 255, 255);">Scope: </span></div>
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<div class="">Swarms of Unmanned Autonomous Systems (UAS), usually inspired by nature, such as bird flocks or fish schools, have been introduced to achieve complex common objectives through collaborative behaviors. Swarms have already been intensively studied
as a way to address the limitations of single autonomous systems by augmenting the range of action, increasing the resilience and flexibility of UAS systems. These properties make them very suitable for numerous applications like surveillance, search and rescue
or wide-area monitoring.</div>
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<div class="">Going one step further, the usage of multiple swarms of different types of autonomous vehicles, e.g. Unmanned Aerial Vehicles (UAV) or Unmanned Ground Vehicles (UGV) recently gained attention. Multi-swarm systems can be composed of heterogeneous
vehicles moving in an autonomous and coordinated way, for instance in the air, on the ground, or in the sea. While members of a single swarm work collectively to achieve a mission, interactions between swarms can similarly be cooperative but also competitive
(e.g., swarms vs. swarms), opening new research challenges.</div>
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<div class="">Multi-swarm systems remain an open research topic because of the intrinsic difficulty in obtaining efficient global behavior while relying on local decisions from distributed and heterogeneous entities evolving in different swarms. Such highly
dynamical networked systems not only require efficient mobility behaviors, but also optimized ad hoc communications within and between swarms.</div>
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<div class="">The development of UAS swarming solutions is still mainly limited to manual design and optimization, which becomes increasingly tedious and hardly scalable when considering multi-swarm systems. Therefore, novel artificial intelligence (AI) and
optimization approaches are thus required to allow the development of efficient multi-swarm behaviors.</div>
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<span class="" style="-webkit-font-kerning: none; background-color: rgb(255, 255, 255);">Topics: </span></div>
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<div class="">•<span class="Apple-tab-span" style="white-space: pre;"> </span>Multi-swarm mobility models</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Multi-swarm simulations</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Multi-swarm testbeds</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Multi-swarm networking models and optimization (e.g., multi-layer networks)</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Heuristics - meta-heuristics for multi-swarm optimization</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Machine learning for multi-swarm systems</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Models for UTM (UAV Traffic Management)</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Prey-Predator dynamics in multi-swarms</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Multi-swarm collaborative models</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Game theoretical models</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>Multi-swarm applications: surveillance, defense, intruder detection and handling</div>
<div class="">•<span class="Apple-tab-span" style="white-space:pre"> </span>State-of-the-art analysis (on the topics above)</div>
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<div class="">Manuscript deadline:</div>
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<div class=""> October 14, 2020</div>
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<div class="">Topic Editors:</div>
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<div class=""><span style="font-family: ArialMT; background-color: rgb(255, 255, 255);" class="">Grégoire Danoy, University of Luxembourg, Luxembourg </span></div>
<div class=""><span style="font-family: ArialMT; background-color: rgb(255, 255, 255);" class="">Bernabé Dorronsoro, University of Cádiz, Spain</span></div>
<div class=""><span style="font-family: ArialMT; background-color: rgb(255, 255, 255);" class="">Matthias R. Brust, </span><span style="font-family: ArialMT; background-color: rgb(255, 255, 255);" class="">University of Luxembourg, Luxembourg </span></div>
<div class=""><span style="font-family: ArialMT; background-color: rgb(255, 255, 255);" class="">Jamal Toutouh, MIT, USA</span></div>
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