Frontiers reaches 6.4 on Journal Impact Factors
Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from virtual reality to space robotics. Field Chief Editor Mel Slater at the University of Barcelona is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers and the public worldwide.
Frontiers in Robotics and AI is a member of the Committee on Publication Ethics.
Short Name: Front. Robot. AI
Electronic ISSN: 2296-9144
Indexed in: Google Scholar, DOAJ, CrossRef, dblp, Ulrich's Periodicals Directory, ESCI, Emerging Sources Citation Index, CLOCKSS
Frontiers in Robotics and AI is composed of the following Specialty Sections:
The specialty sections of Frontiers in Robotics and AI welcome submission of the following article types: Book Review, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Protocols, Review, Specialty Grand Challenge, Systematic Review, Technology Report, Code, Field Grand Challenge and Erratum.
When submitting a manuscript to Frontiers in Robotics and AI, authors must submit the material directly to one of the specialty sections. Manuscripts are peer-reviewed by the Associate and Review Editors of the respective specialty section.
Articles published in the specialty sections above 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 the 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.