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Computational Intelligence in Robotics is devoted to publishing leading-edge research that investigates the role of artificial and computational intelligence in the field of robotics.
The section aims to publish highly innovative, original, salient papers describing novel nature-inspired computational methodologies and drawing on rigorous quantitative approaches across computer science, mathematics, physics and life sciences for the application in robotic systems.
We encourage submissions on a wide range of research topics, relevant to the analysis and modelling of the intelligence phenomenon, including:
· guided self-organization,
· complex adaptive systems,
· embodied intelligence,
· swarm intelligence, artifical life and multi-agent systems,
· evolutionary computation and evolutionary game theory in robotics,
· information theory of cognitive systems,
· complex networks and distributed computation,
· computational robotics,
· bio-inspired cyber-physical security,
· morphological computation in modular robots,
· machine learning, pattern recognition and data mining for robotics.
This section aims to foster a community that encompasses the cross-disciplinary nature of modern computational intelligence developing tools with the intention of promoting and developing this exciting field of robotics.
Indexed in: Scopus, Google Scholar, DOAJ, CrossRef, Digital Biography & Library Project (dblp), Ulrich's Periodicals Directory, Web of Science Emerging Sources Citation Index (ESCI) , CLOCKSS
Computational Intelligence in Robotics 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, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Computational Intelligence in Robotics, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Avenue du Tribunal Fédéral 34
CH – 1005 Lausanne
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