Design and Validation of a Walking Exoskeleton for Gait Rehabilitation Using a Dual Eight-Bar Mechanism
Improvements in exoskeletons and robotic systems are gaining increasing attention because of their potential to improve neuromuscular rehabilitation and assist people in their daily activities, significantly improving their quality of life. However, the high cost and complexity of current devices limit their accessibility to many patients and rehabilitation centers. This work presents the design and development of a low-cost walking exoskeleton, conceived to offer an affordable and simple alternative. The system uses a compact eight-bar mechanism with only one degree of freedom per leg, drastically simplifying motorization and control. The exoskeleton is customized for each patient using a synthesis process based on evolutionary algorithms to replicate a predefined gait. Despite the reduced number of degrees of freedom, the resulting mechanism perfectly matches the desired ankle and knee trajectories. The device is designed to be lightweight and affordable, with components fabricated using 3D printing, standard aluminum bars, and one actuator per leg. A working prototype was fabricated, and its functionality and gait accuracy were confirmed. Although limited to a predefined gait pattern and requiring crutches for balance and steering, this exoskeleton represents a promising solution for rehabilitation centers with limited resources, offering accessible and effective gait assistance to a wider population.
Authors
- Javier Pérez Fernández (ORCID: https://orcid.org/0000-0002-8292-8069)
- Juan Antonio Cabrera Carrillo (ORCID: https://orcid.org/0000-0003-2748-4861)
- Fidel Chávez-Montejano (ORCID: https://orcid.org/0000-0001-6136-6995)
- Alex Bataller Torras (ORCID: https://orcid.org/0000-0003-0324-1777)
Institutions
- Universidad de Málaga (ES)
- Universidad de Colima (MX)
Publication Details
- Journal
- Technologies
- Published
- 2025-10-13
- DOI
- https://doi.org/10.3390/technologies13100463
- Citations
- 1
- Primary Topic
- Prosthetics and Rehabilitation Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.67