Jacopo Fiorenza

Papers

Total Citations

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About

Jacopo Fiorenza is a researcher at the forefront of Industry 4.0, specializing in human–robot collaboration (HRC), augmented reality (AR), and digital twin technologies. His work centers on making industrial automation more intuitive, flexible, and accessible through affordable brain-computer interfaces and immersive telepresence systems. Fiorenza’s most cited paper, “BARI: An Affordable Brain-Augmented Reality Interface to Support Human–Robot Collaboration in Assembly Tasks” (2022), has garnered 24 citations and introduces a low-cost system that uses neural signals to enhance worker-robot interaction on the factory floor—a practical step toward adaptive, human-centric production lines. In his 2023 study, “Exploring the suitability of a Digital twin- and eXtended Reality-based telepresence platform for a collaborative robotics training scenario over next-generation mobile networks” (5 citations), he investigates how combining digital twins with extended reality can enable remote training and assistance for collaborative robots, leveraging 5G networks for real-time responsiveness. Fiorenza’s contributions are notable for their emphasis on affordability and real-world applicability, bridging cutting-edge research with the needs of modern manufacturing. His work is shaping the future of smart factories, where humans and robots work together seamlessly.