Jorge Hurel
Papers
1
Total Citations
2
H-Index
1
About
Jorge Hurel is a researcher dedicated to advancing rehabilitation robotics, with a primary focus on developing assistive technologies for individuals with motor disabilities. His work centers on the design and control of lower-limb exoskeletons, particularly through intelligent systems that leverage neural networks. In his most-cited paper, "Six-axis lower-limb exoskeleton control system based on Neural Networks" (2018), Hurel addresses a critical challenge in Ecuador, where poverty and social marginalization amplify the impact of motor disabilities. By integrating neural network-based control into a six-axis exoskeleton, he proposes a cost-effective, adaptive solution for therapeutic and rehabilitation applications. This work, with 2 citations, highlights his commitment to creating accessible robotic devices that can improve mobility and quality of life in underserved communities. Hurel’s contributions sit at the intersection of biomechatronics and artificial intelligence, aiming to bridge the gap between advanced robotics and real-world rehabilitation needs. His research not only advances technical control systems but also underscores the social imperative of engineering inclusive technologies for vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1Six-axis lower-limb exoskeleton control system based on Neural Networks2 citations · 2018