Samuele Pe
Papers
3
Total Citations
33
H-Index
2
About
Samuele Pe is a rising researcher at the intersection of artificial intelligence, robotics, and rehabilitation science. His work focuses on leveraging machine learning to enhance robotic rehabilitation systems, particularly for motor recovery in clinical settings. Pe’s major contributions include conducting systematic reviews that map the landscape of AI/ML applications in multi-domain robotic rehabilitation, identifying critical trends, gaps, and future directions. His 2025 review, which has already garnered 28 citations, highlights how robotic technologies can deliver precise, repetitive, and task-specific interventions to improve patient outcomes. Pe has also advanced human activity recognition (HAR) by systematically comparing machine learning models in cross-subject versus non-cross-subject scenarios, offering foundational insights for developing more robust rehabilitation systems. His 2024 preliminary analysis, with 3 citations, underscores the importance of generalizable HAR for detecting abnormal movements. Additionally, his systematic review of machine learning in robotics-assisted rehabilitation (2 citations) synthesizes evidence to guide future research. Pe’s work is notable for its methodological rigor and its potential to bridge AI-driven analytics with real-world clinical applications, making him a key voice in the evolving field of intelligent rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
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