Publications

The IEEE Robotics and Automation Society (RAS) is committed to advancing innovation, knowledge, and excellence in robotics and automation. Our publications serve as a global platform for researchers, engineers, and practitioners to share groundbreaking ideas, cutting-edge technologies, and practical applications that shape the future of intelligent systems.
On this page, you will find essential resources and guidelines related to our journals, magazines, and submission processes, both RAS Sponsored Publications, Co-sponsored Publications and Technically Co-sponsored Publications. Whether you are preparing a manuscript, submitting a video, or exploring ethical standards, these links provide everything you need to contribute to and benefit from the RAS community.
Our portfolio includes leading publications such as RA-L, RA-M, T-ASE, T-RO, T-FR and RA-P, along with tools and programs designed to support authors, reviewers, and young researchers. We also provide guidance on topics like plagiarism, generative AI usage, Double-Anonymous Review Process
 and best practices for creating impactful robot videos.
Explore the sections below to access subscription details, author resources, and review guidelines including our Young reviewers Program, and join us in driving innovation in robotics and automation worldwide.
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Introduction

Papers from the WAFR 2012 Technical Program

From the WAFR 2012 Website:

The International Workshop on the Algorithmic Foundations of Robotics (WAFR) is a single-track workshop devoted to recent advances on algorithmic problems in robotics. The workshop proceedings will be published in a hardcover volume in the Springer STAR series, and selected papers will be invited for publication in a special issue of the International Journal of Robotics Research. Other selected papers will be invited for publication in this T-ASE Special Issue.

Robot algorithms are a fundamental component of robotic systems. These algorithms process inputs from sensors that provide noisy and partial data, build geometric and physical models of the world, plan high-and low-level actions at different time horizons, and execute these actions on actuators with limited precision. The design and analysis of robot algorithms raise a unique combination of questions from many fields, including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science.

Robot algorithms are a fundamental component of robotic systems. These algorithms process inputs from sensors that provide noisy and partial data, build geometric and physical models of the world, plan high-and low-level actions at different time horizons, and execute these actions on actuators with limited precision. The design and analysis of robot algorithms raise a unique combination of questions from many fields, including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science.

Scope, Description, and More Information
Important Dates