Andrea Valdata

Papers

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About

Andrea Valdata is a leading researcher in the fields of human–AI collaboration, cyber–physical systems, and digital twin technology, with a particular focus on the construction and manufacturing sectors. Her most cited work, "Enabling interoperable human–AI teaming for automation in construction and manufacturing via Digital Twins and Sliding Work Sharing ontologies" (2025), introduces a groundbreaking ontology system that facilitates dynamic, explainable, and human-centric collaboration between humans and AI-enabled non-human agents. This research addresses a critical gap in automation by ensuring that digital twins—real-time digital replicas of physical processes—can support transparent, interoperable teamwork. With 4 citations already in its early publication, Valdata’s work is gaining traction for its practical implications in creating safer, more efficient industrial environments. Her contributions are notable for bridging the gap between theoretical AI frameworks and real-world applications, emphasizing human oversight and trust in automated systems. Valdata’s research is essential reading for students and professionals interested in the future of smart manufacturing, human-robot interaction, and the ethical integration of AI in complex physical workflows.