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

Smart homes, as a part of home automation, are expected to be intelligent and human-aware. The recent Google acquisition of Nest Labs (https://nest.com/), which designs and manufactures sensor-driven, WiFi-enabled, self-learning, programmable thermostats and smoke detectors, is evidence for the potential huge market of smart home technologies in the next decade. At the same time, human-centered computing (HCC) research aims to understand the increasingly coupled relationships between people and computing. HCC research has been accelerating in recent years due to the emergence of mobile devices such as smartphones/mobile tablets, wearable sensors and computers, as well as distributed environmental sensors. Understanding human beings and their contexts can help develop truly smart homes in many ways. For example, using small wearable sensors integrated into clothing or attached to human subjects and intelligent signal processing algorithms, it is possible to obtain the wearer’s status such as activity, gesture, location, emotion and physiological conditions. Such human-awareness can facilitate natural human robot interaction, behavioral monitoring, health monitoring, energy management, wearable robots for rehabilitation, etc., which can be part of a smart home system.The main objective of this special issue is to collect key research papers on the state-of-the-art of human-centered computing and its potential applications in smart homes.

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