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Scope
This section on Field Robotics seeks to investigate the science of resilience that enables robotic systems to seamlessly operate in real-life conditions, contributing in the science and systems of autonomous robotic systems, while emphasizing on field verification and validation.
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Scope
The Field Robotics section of Frontiers in Robotics and AI publishes high-quality fundamental and applied research in the domain of resilient and field-verified autonomous robotics. Field robotics is the domain within which new progress in methods and systems is not only verified but also the activity within which new requirements, needs and challenges are identified.
We seek to investigate the science of resilience that enables robotic systems to seamlessly operate in real-life conditions.
The areas covered by this section include, but are not limited to:
● Advanced Manufacturing Robotics
● Aerial Robotics
● Agricultural Robotics
● Aquaculture Robotics
● Collision Avoidance Systems in the Field
● Construction Robotics
● Deep Learning Methods in the Field
● Failure Detection and Recovery in the Field
● Hospitality Robotics
● Imitation Learning in the Field
● Industrial Robotics
● Legged Robots
● Manipulation and Interaction in the Field
● Marine Robotics
● Mining Robotics
● Nuclearized Robotics
● Path and Motion Planning in the Field
● Perception-Action Loop and Field Verification
● Reinforcement Learning in the Field
● Robotics for Environmental Monitoring
● Robotics in Hazardous Environments
● Science of Resilient Autonomy
● Service Robotics
● SLAM Methods and Technologies in the Field
● Task Planning in the Field
● Tracked Robots
● Wheeled Robots
Submissions are expected to contribute in the science and systems of autonomous robotic systems, while emphasizing on field verification and validation. Purely laboratory-verified concepts do not fall within the scope of this section and should be submitted to more specialized ones. Submissions that are accompanied with open datasets and code, and broadly contributions in research reproducibility are extremely welcome.
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
PMCID: coming soon for all published articles
Field 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 Field Robotics, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
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