Frontiers in Robotics and AI

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Start your submission and get more impact for your research by publishing with us.

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Author guidelines

Ready to publish? Check out our author guidelines for everything you need to know about submission, from choosing a journal and section to preparing your manuscript.

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Editor guidelines

Reviewing a manuscript? See our editorial guidelines for everything you need to know about Frontiers’ peer review process.

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Our efficient and rigorous peer review means you’ll get a decision on your manuscript in just 77 days.

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Publishing fees

Article processing charges (APCs) apply to articles that are accepted for publication by our external editors, following rigorous peer review.

Editors

See all

kostas alexis

Norwegian University of Science and Technology

Trondheim, Norway

Specialty Chief Editor

Field Robotics
dongbing gu

University of Essex

Colchester, United Kingdom

Specialty Chief Editor

Field Robotics
jan faigl

Faculty of Electrical Engineering, Czech Technical University in Prague

Prague, Czechia

Associate Editor

Field Robotics
luis rodolfo garcia carrillo

New Mexico State University

Las Cruces, United States

Associate Editor

Field Robotics

Field Robotics

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Editors

kostas alexis

dongbing gu

jan faigl

luis rodolfo garcia carrillo

Articles

Data-driven Acceleration of Mixed-integer Bilinear Programs: A Comparative Study for Robot Motion Planning

The Cyber-enhanced tank: A novel concept for increased realism and multi-modal monitoring in tank based finfish aquaculture research

Custom UAV with Model Predictive Control for Autonomous Static and Dynamic Trajectory Tracking in Agricultural Fields

Deep learning methods for 3D tracking of fish in challenging underwater conditions for future perception in autonomous underwater vehicles

Research Topics

Robotic Advancements in Ecological Monitoring and Ecosystem Restoration

Robotics and AI in the Hospitality and Service Industries

Social Robot Navigation – Opportunities, Algorithms, Tools, and Systems

Reinforcement Learning for Real-World Robot Navigation