Advanced Robotics and Wearable Sensors in Rehabilitation
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 31 May 2027 | Viewed by 225
Editors
Interests: rehabilitation robotics and wearable exoskeletons; wearable sensing and multimodal biosignal processing; brain–computer interfaces and neural engineering; human–robot interaction and adaptive control; AI-enabled movement analysis and digital biomarkers
2. Department of Mechatronics, School of Engineering & Science, Monterrey Institute of Technology, Mexico City, Mexico
Interests: machine learning for tactile and vision perception in autonomous robotics; learning and sensorimotor control in autonomous robotics; cognitive architectures for multimodal human–robot interaction and collaboration; deep learning for intent recognition and wearable assistive robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in robotics, wearable sensors, and artificial intelligence are enabling more accurate movement assessment and more adaptive rehabilitation assistance. These technologies can support personalized training, real-time feedback, and continuous monitoring in both structured and everyday environments. However, translating individual technologies into practical rehabilitation systems remains challenging. Key issues include reliable sensing, accurate intention recognition, adaptive control, intuitive interaction, and comfortable wearable design.
This Special Issue, entitled “Advanced Robotics and Wearable Sensors in Rehabilitation”, aims to present recent advances in the development, integration, and clinical translation of robotic and wearable technologies for motor assessment, assistance, and rehabilitation. We welcome original research articles, reviews, and communications addressing topics including, but not limited to, wearable robots and exoskeletons; soft robotics; upper- and lower-limb rehabilitation robots; prosthetic and assistive devices; wearable inertial, physiological, biomechanical, and neural sensors; multimodal sensor fusion; gait and movement analysis; human intention recognition; adaptive and assist-as-needed control; artificial intelligence and machine learning; brain–computer interfaces; functional electrical stimulation; digital biomarkers; telerehabilitation; and sensor-based closed-loop rehabilitation systems. Studies examining usability, safety, clinical efficacy, patient engagement, home- and community-based applications, and patient-centered design are particularly encouraged.
Through this Special Issue, we seek to bridge technological innovation and clinical rehabilitation, foster interdisciplinary collaboration among engineers, clinicians, neuroscientists, and rehabilitation specialists, and accelerate the development of intelligent, personalized, and accessible rehabilitation technologies.
Prof. Dr. Lin Meng
Dr. Uriel Martinez-Hernandez
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- rehabilitation robotics
- wearable sensors
- wearable robots and exoskeletons
- human movement assessment
- multimodal sensor fusion
- human–robot interaction
- intention recognition
- adaptive control
- artificial intelligence
- closed-loop rehabilitation
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
