Gianluca Marcelli
Papers
1
Total Citations
20
H-Index
1
About
Gianluca Marcelli is a leading researcher at the intersection of artificial intelligence, biomechanics, and pediatric rehabilitation. His primary focus lies in developing deep learning models to forecast gait trajectories in children with neurological disorders, a critical step toward enhancing the control of lower limb robotic exoskeletons and powered ankle-foot orthoses (PAFOs). While prior work has largely concentrated on healthy gait prediction, Marcelli’s groundbreaking 2022 study, cited 20 times, pioneered the application of deep learning to forecast pathological gait patterns in children, offering a transformative feedforward input for assistive devices. This work directly addresses a key gap in neurorehabilitation, enabling more responsive, adaptive robotic support for young patients with conditions like cerebral palsy or spina bifida. By bridging computational modeling and clinical robotics, Marcelli’s contributions are shaping the future of personalized, data-driven mobility aids. His research not only advances the technical frontier of gait prediction but also holds profound implications for improving functional independence and quality of life in pediatric populations.
Research Focus
Key Achievements
Top Papers
- 1