The IEEE Transactions on Medical Robotics and Bionics (T-MRB) is a quarterly Green Open Access (see details in Information for Authors) multidisciplinary journal aimed at publishing peer-reviewed papers focused on innovative research ideas and medical application results. It reports 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 that support the prevention, diagnosis, or treatment of human diseases. These 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 that mimic living organisms or technologies that intimately interact with the human body), or combinations of both, such as robotic artificial organs and other active implantable devices featuring direct interfaces with the human body. In addition, T-MRB promotes works investigating mechanisms and principles observed in nature to unravel scientific issues and exploit them to develop innovative bionic technologies for medical applications.

Main journal topics include:

  • 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 reviews of research areas and trends within its scope, evidence-based studies on the 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.

IEEE T-MRB is a publication sponsored by:

Editor-in-Chief

Prof. Fanny Ficuciello
Università Federico II di Napoli, Naples, Italy
fanny.ficuciello@unina.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): 3.8
Journal Citation Indicator (JCI): 0.81
Scimago Journal Ranking (SJR): 0.933 Q1
Normalized Eigenfactor: 0.70

News

T -MRB is soliciting nominations for Associate Editors to begin service in Summer 2026.

T-MRB is looking forward toreceiving applications from qualified candidates committed to ensure excellence and a timely service in their reviews. Candidates should have a solid technical background in T-MRB-related areas and excellent English language skills. Candidates should check the following keywords and include one primary keyword and at least another keyword in their application:

● healthcare applications of robotic and/or of bionic components and systems able to support prevention, diagnosis or treatment of human diseases;.
● devices for physical and cognitive rehabilitation;
● supporting systems for independent living;
● medical systems which mimic living organisms;
● technologies that intimately interact with the human body;
● robotic artificial organs;
● active implantable devices featuring direct interfaces to the human body

Nominations should include a resume, a complete list of journal publications (link to GScholar or others), previous experience with publications as an Associate Editor or a Reviewer , or in other editorial capacities, and areas of technical expertise. Contact details of two references, under whom the candidate served in editorial positions before, are preferred.

Please submit nominations in a single pdf file to the Editor in Chief , Prof. Fanny Ficuciello at fanny.ficuciello@unina.it, and in copy to T-MRB Editorial Office at tmrboffice@gmail.com by JUNE 15, 2026.

Any questions on this Call may be directed to tmrboffice@gmail.com.

Current Issue - Volume 8 Issue 1 - February 2026

The new IEEE T-MRB Issue has been released. Che the full issue here.

Comparing puncture-detection approaches for manual needle insertions through the parietal pleura
The Effect of User Learning for Online EEG Decoding of Upper-limb Movement Intention
A Posterior Segment Ocular Microsurgical Robot with a Decoupling RCM Mechanism Based on a Minimized Internal Constraint Force Optimization Method
Adaptive Closed-Loop Functional Electrical Stimulation System with Visual Feedback for Enhanced Grasping in Neurological Impairments
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