Design and Control of Mechatronic Systems for Biomedical and Rehabilitation Applications
A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 76
Special Issue Editors
Interests: exoskeleton robot; biomedical engineering; biomechatronics
Interests: BMI/BCI; rehabilitation robot
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of biomechanics and mechatronics has led to transformative innovations in medical and rehabilitation technologies. Bio-mechatronic systems, such as robotic exoskeletons, intelligent prosthetic devices, and wearable therapeutic tools are rapidly evolving to offer greater precision, adaptability, and personalization in restoring or enhancing human motor function. These systems not only embody complex electromechanical design but also require intelligent control algorithms that account for the intricacies of human movement, intent, and rehabilitation protocols.
This Special Issue aims to explore recent advances in the design, modeling, actuation, and intelligent control of bio-mechatronic systems tailored for medical and rehabilitation applications. These systems, such as robotic exoskeletons, prosthetic devices, and wearable therapeutic tools, bridge the gap between biomechanics and electromechanical systems, enabling improved patient outcomes, mobility, and independence.
We welcome contributions that address theoretical innovations, practical implementations, experimental validations, and clinical integrations of bio-mechatronic systems. Particular interest will be given to work involving intelligent actuation, real-time control strategies, biomechanical modeling, human–machine interaction, and AI-integrated rehabilitation protocols.
Dr. Sk Hasan
Dr. Duk Shin
Guest Editors
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Keywords
- actuation mechanisms in assistive and rehabilitative devices
- design and control of wearable robotics (exoskeletons, orthoses, prostheses)
- AI and machine learning in adaptive rehabilitation systems
- bio-signal processing and human intent recognition
- sensor integration and feedback in bio-mechatronic systems
- rehabilitation robotics for stroke, SCI, and neuro-motor recovery
- clinical evaluation and user-centered design
- biomedical informatics
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