Paolo Belluco
Papers
3
Total Citations
8
H-Index
2
About
Paolo Belluco’s research lies at the intersection of Mixed Reality (MR), Augmented Reality (AR), and human–machine interfaces, with a focus on industrial applications and assistive technologies. His early work pioneered the integration of MR environments for ergonomic product assessment, notably developing a robotic arm system for car dashboard layout evaluation—a method that enables real-time, immersive design validation during development phases. To overcome the spatial limitations of marker-based AR tracking, Belluco introduced a hybrid technique that combines visual markers with mobile robot co-navigation, effectively extending the working space for unstructured environments. This innovation supports more flexible, scalable AR deployment in manufacturing and field operations. In the domain of biosignal processing, he contributed to classifying electromyography (EMG) signals for interfacing patients with mechanical devices, advancing non-invasive control systems for rehabilitation and assistive robotics. Though his citation counts remain modest, Belluco’s work demonstrates a consistent commitment to bridging virtual and physical systems for practical, user-centered solutions—laying groundwork for future developments in industrial AR and human–robot collaboration.
Research Focus
Key Achievements
Top Papers
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