Sensor Technologies for Rehabilitation Robotics
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 205
Editors
Interests: robotic-assisted rehabilitation; aging rehabilitation
Interests: lower extremity patho-kinesiology
Interests: biomechanics; rehabilitation science; movement dysfunction
Interests: bio-robotics; rehabilitation robotics; exoskeleton robots; mobile robots; intelligent control; nonlinear control; artificial intelligence; human–machine interface; digital twin; teleoperation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth of rehabilitation robotics is transforming the delivery of healthcare by enabling more personalized, intensive, and data-driven therapy for individuals with neurological and musculoskeletal conditions. At the core of these systems, sensor technologies play a critical role in capturing biomechanical, physiological, and environmental data to support real-time feedback, adaptive control, and objective assessment of patient progress. Advances in wearable sensors, soft and flexible electronics, computer vision, and multimodal sensing have opened new opportunities for enhancing human–robot interaction and improving rehabilitation outcomes.
Despite these advances, significant challenges remain, including sensor accuracy and reliability in real-world settings, integration of heterogeneous data streams, user comfort and usability, and the translation of laboratory innovations into clinical and home environments. With the increasing demand for remote rehabilitation, aging populations, and the integration of artificial intelligence, sensor-driven rehabilitation robotics is a timely and impactful research area with strong implications for both academia and clinical practice.
This Special Issue aims to present and disseminate the most recent advances related to sensor technologies for rehabilitation robotics. We consider contributions addressing novel sensing modalities, system integration, data analytics, and clinical applications that enhance the effectiveness, accessibility, and scalability of robotic rehabilitation systems.
Topics of interest include, but are not limited to:
- Wearable and flexible sensors for rehabilitation
- Multimodal sensing (kinematic, kinetic, physiological signals)
- Sensor fusion and data integration in robotic systems
- AI-driven sensing and adaptive control in rehabilitation robotics
- Human–robot interaction and intention detection
- Soft sensors and smart materials
- Computer vision and markerless motion capture
- Remote monitoring and telerehabilitation technologies
- Sensor validation, reliability, and standardization
- Clinical translation and real-world deployment
- Barriers to clinical adaptation and user acceptance
- Technical and ethical challenges in data privacy
Prof. Dr. Inga Wang
Prof. Dr. Sheng-Che Yen
Prof. Dr. Kevin Chui
Prof. Dr. Mohammad H. Rahman
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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
- sensor fusion
- human–robot interaction
- multimodal sensing
- artificial intelligence
- telerehabilitation
- motion capture
- assistive technologies
- clinical translation
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