The IEEE Transactions on Medical Robotics and Bionics (T-MRB) is a quarterly Green Open Access (see details in Information for Authors) multi-disciplinary journal aimed at publishing peer-reviewed papers and focused on innovative research ideas and medical application results, reporting significant theoretical findings and application case studies in the areas of medical robotics and bionics.

The IEEE T-MRB publishes non-incremental results on innovative systems able to support prevention, diagnosis or treatment of human diseases. Such systems can be based on robotics and automation technology-related paradigms (e.g. surgical robots, devices for physical and cognitive rehabilitation, supporting systems for independent living, etc.) on bionics paradigms (e.g. medical systems which mimic living organisms or technologies that intimately interact with the human body), or the combinations of them, e.g. robotic artificial organs and other active implantable devices featuring direct interfaces to the human body. In addition, T-MRB promotes works investigating mechanisms and principles observed in nature in order to unravel scientific issues, and to exploit them to develop innovative bionic technologies for medical applications.

Main journal topic includes:

  • Surgical robotics
  • Rehabilitation and assistive robotics
  • Bionic prostheses
  • Sensory substitution
  • Artificial/Bioartificial bionic organs
  • Medical biomimetic technologies

The journal also welcomes survey and commentary papers providing: critical, systematic review of research areas and trends within its scope; evidence-based studies on early clinical validation of robotic or bionic technologies, and contributions on ethical, social, economic, and organizational aspects concerning robotics and/or bionic solutions for medical and healthcare applications.

Editor-in-Chief

Prof. Paolo Dario
Scuola Superiore Sant’Anna, Pisa, Italy
paolo.dario@santannapisa.it

Deputy Editor-in-Chief

Prof. Mamoru Mitsuishi
University of Tokyo, Tokyo, Japan
mamoru@nml.t.u-tokyo.ac.jp

Metrics

Journal Impact Factor 2023 (JIF): 3.4

Journal Citation Indicator (JCI): 0.79

Scimago Journal Ranking (SJR): Q1

Normalized Eigenfactor: 0.49

 

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