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Advanced Rehabilitation Exoskeleton Robots

This special issue belongs to the section “Robotics, Mechatronics and Intelligent Machines“.

Special Issue Information

Dear Colleagues,

Rehabilitation exoskeleton robots represent a rapidly advancing field at the intersection of robotics, biomechanics, and healthcare technology. Designed to assist patients with mobility impairments, these wearable robotic systems provide external mechanical support to aid in movement, muscle training, and functional recovery. Unlike traditional rehabilitation methods, advanced exoskeletons can deliver precise, repeatable motion patterns tailored to an individual’s needs, enabling more effective and engaging therapy. The integration of sensors, artificial intelligence, and real-time feedback systems has significantly improved the adaptability and usability of these devices. Modern exoskeletons can monitor patient performance, adjust assistance levels dynamically, and collect data to support clinicians in designing personalized rehabilitation programs. Applications extend across a range of conditions, including stroke recovery, spinal cord injuries, and neurodegenerative diseases, where regaining independence in mobility is a key objective. Beyond clinical settings, exoskeletons are increasingly being explored for home-based rehabilitation, empowering patients to continue therapy outside hospitals and reducing healthcare costs. Despite challenges such as affordability, portability, and long-term user comfort, ongoing research continues to enhance their effectiveness and accessibility. Advanced rehabilitation exoskeleton robots are paving the way toward more efficient recovery processes, improved patient outcomes, and a new era in assistive healthcare technologies.

Dr. Cristian Copilusi Petre
Dr. Sorin Dumitru
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 2400 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

  • locomotion system
  • gait assistance
  • human rehabilitation systems
  • exoskeleton dynamic and kinematic analyses
  • human lower limb assistive devices

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Machines - ISSN 2075-1702