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Scope
This section on Soft Robotics provides scientists with the latest results in this field, by gathering contributions from soft roboticists and experts that can contribute to the development of novel soft robots, regardless of their background discipline.
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Scope
Soft Robotics is devoted to publishing cutting-edge multidisciplinary research that investigates the use of "soft" materials or deformable structures to build robots.
The section aims to go beyond the traditional concept of structured systems, representing a disruptive challenge for future emerging technologies and for the design of adaptive structures integrated within society and nature.
Areas on interest include, but are not limited to:
· soft, elastic and deformable materials for robotics;
· soft actuators and sensors;
· stretchable electronics;
· morphological computation and embodied intelligence;
· learning-based control paradigms;
· bio-inspired soft robots;
· soft robots with highly dexterous capabilities in manipulation and locomotion;
· soft robots with unconventional abilities (e.g. morphing, growing, self-healing);
· physical human-robot interaction.
By gathering contributions from soft roboticists and experts in the field, the section aims to provide scientists with the latest advancements that can contribute to the development of novel soft robots, regardless of their background discipline.
Indexed in: Scopus, Google Scholar, DOAJ, CrossRef, dblp, Ulrich's Periodicals Directory, ESCI, Emerging Sources Citation Index, CLOCKSS
PMCID: NA
Soft 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 and Technology and Code.
All manuscripts must be submitted directly to the section Soft Robotics, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Soft Robotics 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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