Matteo Tortora
Papers
2
Total Citations
8
H-Index
2
About
Matteo Tortora is a leading researcher at the intersection of wearable robotics and artificial intelligence, with a primary focus on lower-limb exoskeletons and rehabilitation technologies. His work centers on developing intelligent, adaptive control systems that enhance human mobility for both individuals with physical impairments and able-bodied users seeking performance augmentation. Tortora’s most cited study, “Deep learning for human locomotion analysis in lower-limb exoskeletons: a comparative study” (2025, 5 citations), provides a critical benchmark for integrating deep learning models into real-time exoskeleton control, addressing one of the field’s most pressing challenges: creating accurate, responsive assistance. In his second major contribution, “AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation” (2025, 3 citations), he pioneers personalized rehabilitation frameworks that adapt therapy in real-time to patient needs. Though early in his career, Tortora’s work has already garnered attention for its practical impact, bridging advanced AI with tangible assistive devices. His research promises to transform how exoskeletons learn from and respond to human movement, paving the way for more natural, effective human-robot interaction in clinical and everyday settings.
Research Focus
Key Achievements
Top Papers
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