Reimagining Rehabilitation: Assistive Robotics, AI, and the Future of Movement
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 77
Editors
Interests: robotic wheelchairs; human-centered design; transportation and physical AI
Special Issues, Collections and Topics in MDPI journals
Interests: robotic wheelchairs; human-centered design; educational gamification; instrumentation; human–robot interaction
Special Issues, Collections and Topics in MDPI journals
Interests: robotics; assistive technology; disability studies; adaptive sports; transportation; alternative power sources; activities of daily living
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of physical rehabilitation is currently witnessing a paradigm shift, driven by the rapid convergence of Artificial Intelligence (AI) and Assistive Robotics. This Special Issue aims to explore the transformative potential of these technologies in restoring and enhancing human mobility. As global healthcare systems face mounting pressure from aging populations and the rising prevalence of neurological disorders, there is an urgent need for interdisciplinary research that transitions rehabilitation from traditional, labor-intensive practices to data-driven, autonomous, and personalized interventions.
We invite high-quality contributions that address the design, control, and clinical integration of intelligent systems. The scope of this issue encompasses a broad spectrum of innovations, including adaptive exoskeletons, smart prosthetics, and neural-interfaced devices. We particularly encourage submissions focusing on the application of Machine Learning (ML) for real-time biomechanical analysis, the optimization of Human–Robot Interaction (HRI) to improve user compliance, and the development of sensor-fusion frameworks for remote rehabilitation monitoring. By bridging the gap between sophisticated robotic engineering and clinical efficacy, this collection seeks to redefine the boundaries of movement recovery. We welcome original research articles and comprehensive reviews that offer significant methodological advancements or evidence-based clinical insights.
Dr. Sivashankar Sivakanthan
Dr. Jorge L. Candiotti
Dr. Jonathan Duvall
Guest Editors
Manuscript Submission Information
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Keywords
- assistive robotics
- artificial intelligence
- neurorehabilitation
- human–robot interaction (HRI)
- wearable exoskeletons
- machine learning
- bio-feedback systems
- motor recovery
- sensor fusion
- smart prosthetics
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