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Multi-Robot Systems is devoted to publishing leading-edge research that investigates systems that can exhibit complex, intriguing, and useful group behaviors that are not inherent in their constituent components.
Some of these behaviors can emerge as a result of basic local interactions between the members of the collective, while others can be designed in a top-down fashion. Regardless of how group behavior is instigated, inter-robot coordination and collaboration enables a wide range of exciting new application opportunities for robotic systems, from sensor networks for environmental monitoring, security and defense, to satellite communications, to search and rescue, and much more.
The goal if this section is to offer a rigorous scientific discussion forum, aiming at answering open scientific questions related to the development and utilization of multi-robot systems.
We encourage submissions on design, analysis, and implementation of robotic group behaviors, including:
· control and coordination of multi-robot systems,
· collective and distributed learning,
· networked decision-making,
· sensor network deployment and communication,
· distributed estimation,
· robotic swarms,
· cooperative planning,
· sensor network coverage,
· cooperative mapping.
Indexed in: Scopus, Google Scholar, DOAJ, CrossRef, dblp, Ulrich's Periodicals Directory, ESCI, Emerging Sources Citation Index, CLOCKSS
Multi-Robot Systems welcomes submissions of the following article types: Brief Research Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Review, Specialty Grand Challenge and Technology and Code.
All manuscripts must be submitted directly to the section Multi-Robot Systems, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Multi-Robot Systems will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Robotics and AI.
Avenue du Tribunal Fédéral 34
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Tel +41(0)21 510 17 40
Fax +41 (0)21 510 17 01
For all queries regarding manuscripts in Review and potential conflicts of interest, please contact firstname.lastname@example.org
For queries regarding Research Topics, Editorial Board applications, and journal development, please contact email@example.com