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Scope
This section addresses control aspects of robotic systems. "Robots" and "Control", both interpreted in a wide sense, are fundamental actors of multiple aspects of our life, and the applications of robotic control systems are wide.
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Scope
Robotic Control Systems aims to publish cutting-edge research on the systematic design and implementation of control systems within robotics.
The section welcomes innovative research and topical reviews on the following research areas of robotic motion control and planning:
• innovative robotic multi-joint mechanisms
• moving agents: ground/underground, marine (surface and underwater) and aerial
• algorithms for robotic motion control and motion&task planning
• cooperation of multi-robot systems
• sensor-based decision making for motion control and planning
• applications of robotic control systems.
The section aims to foster a community that encompasses researchers and practitioners in engineering, computer science and applied mathematics developing advanced tools and technology for robotic control motion.
Indexed in: Scopus, Google Scholar, DOAJ, CrossRef, dblp, Ulrich's Periodicals Directory, ESCI, Emerging Sources Citation Index, CLOCKSS
PMCID: NA
Robotic Control 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 Robotic Control Systems, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Robotic Control 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.
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