Diego Rovere
Papers
1
Total Citations
4
H-Index
1
About
Diego Rovere is a leading researcher at the intersection of human–AI collaboration and cyber–physical systems, with a primary focus on construction and manufacturing automation. His most impactful work introduces a groundbreaking ontology system—combining Digital Twins with Sliding Work Sharing—that enables interoperable, explainable, and dynamic teaming between humans and AI-enabled non-human agents. This framework, detailed in his 2025 paper (already garnering 4 citations), addresses a critical gap in Industry 4.0: how to maintain human agency and transparency while scaling automation. By formalizing how tasks can be flexibly allocated between human and machine actors in real time, Rovere’s contributions lay the foundation for safer, more adaptive, and truly collaborative work environments. His research is particularly notable for bridging technical ontology design with practical human factors, ensuring that AI systems remain understandable and controllable by human operators. As a rising voice in human–AI teaming, Rovere’s work is poised to shape the next generation of intelligent, human-centric automation in complex industrial settings.
Research Focus
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Top Papers
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