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

The Internet of Things (IoT) refers to uniquely identifiable objects and people as well as their virtual representations in an Internet-like infrastructure. After the Web and mobile accessibility, IoT has been hailed as another technological revolution of our lifetime, even more promising with smart automated systems (such as Smart Cities, Smart Grid, Smart Factories, Smart Buildings, Smart Homes, and Smart Cars). In such systems and related applications, it is important to effectively design and implement methods and architectures able to effectively collect, manage, and process large/complex data sets and processes, and ultimately to manage and control IoT-enabled systems at different levels (from local to global), as they are composed of many networked entities of different scales (smart objects, sensors and actuators, embedded computers, mobile devices, machines, factories, buildings, and people). The large-scale nature of IoT-enabled systems raises a number of specific challenges including: effective data collection, cleaning, and storage; data latency and real-time Big Data analytics; novel methods for global system control; effective development of large-scale management platforms; well-defined control interfaces for IoT technologies; and various IoT standards. Moreover, such new findings need to ensure IoT system safety, security and privacy.

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