Trends and Prospects in Rehabilitation Robotics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 27
Special Issue Editors
Interests: robot-aided rehabilitation; multimodal interfaces; user state estimation; sensor data processing and fusion; human–robot interaction
Interests: rehabilitation; robotics; biomechanics; gait analysis; movement analysis; neurological disorders; musculoskeletal disorders; motor learning; neurorehabilitation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Rehabilitation robotics has emerged as one of the most dynamic and promising fields, and is at the intersection of engineering, medicine, and neuroscience. This Special Issue aims to present the latest advances, challenges, and future directions in the development and application of robotic technologies for motor recovery and functional assistance.
We welcome original research articles, reviews, and case studies that explore innovative robotic systems, control strategies, human–robot interaction, wearable exoskeletons, and AI-driven rehabilitation solutions. Particular emphasis will be given to user-centered design, clinical validation, the integration of sensor technologies, and the use of machine learning for adaptive therapy. Studies investigating the neurophysiological mechanisms underlying motor control, recovery, and human–robot interaction are also encouraged, as are contributions addressing accessibility and real-world deployment. By gathering a multidisciplinary perspective, this Special Issue will provide a comprehensive overview of current trends and insights into the future of rehabilitation robotics.
Dr. Francesco Scotto Di Luzio
Dr. Marco Germanotta
Guest Editors
Manuscript Submission Information
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Keywords
- rehabilitation robotics
- assistive technologies
- exoskeletons and wearable robots
- neurorehabilitation
- human–robot interaction
- ai in rehabilitation
- soft robotics
- sensor-based feedback
- robotic therapy systems
- motor function recovery
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