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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Aims and Scope

Over the past three decades, computationally efficient techniques for the analysis, simulation, and optimization of articulated bodies have been developed by the robotics and mathematical communities.  With recent advances in computational power and improvedalgorithms, these techniques are being applied to increasingly complex structures like the human body. More generally, the use of robotics formalisms for quantitative human motion analysis and synthesis is enabling new applications in, e.g., medical diagnosis, monitoring and feedback during rehabilitation and sports training, animation, ergonomic analysis and design, and improved rehabilitation and assistive robots and devices.  At the same time, methods initially developed for human motion analysis in other fields like biomechanics, neuroscience, computer graphics, and computer vision are increasingly being used in robotics, in topics ranging from human-robot interaction to imitation learning.

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This special issue seeks submissions describing novel work synthesizing multidisciplinary techniques for human and humanoid motion analysis, synthesis, and control. Topics of interest include:

  • Kinematic and dynamic modeling and analysis of the human body
  • Dynamic parameter estimation and optimum experimental design
  • Optimal control of human and humanoid motions
  • Inverse optimal control for identification of objective functions during human motor control
  • Motion recognition, segmentation, modeling, and analysis
  • Quantitative analysis methods for rehabilitation and sports training
  • Robotics techniques for animation
  • Neuromuscular control
  • Musculoskeletal dynamics
  • Rehabilitation robotics
  • Human motion analysis and understanding for imitation learning and human-robot interaction
  • Human-inspired control algorithms for robots
  • Model-predictive control for movement science
  • Human movement informing the design and control of assistive devices, exoskeletons and prostheses
  • Robotics-based motion synthesis

Contributions must have a central connection to robotics; pure psychomotor or biomechanics studies are outside the scope of this special issue. Interested authors are encouraged to contact the special issue editors with an abstract of their paper to confirm that their submission is within the scope of the special issue. Abstracts should be sent via email to [email protected].

Important Dates
Guest Editors