Margherita Nannetti
Papers
2
Total Citations
5
H-Index
2
About
Margherita Nannetti is a rising researcher at the forefront of human-robot collaboration (HRC), with a focus on creating safer, more intuitive interactions between human operators and industrial robots. Her work sits at the intersection of cognitive ergonomics, physiological sensing, and adaptive automation, directly addressing the challenges of Industry 5.0’s human-centric manufacturing paradigm. Nannetti’s key contributions include pioneering the use of pupillometry—measuring pupil dilation—as a real-time, non-invasive indicator of a worker’s cognitive load, learning, and adaptation during collaborative tasks. This approach allows robots to dynamically adjust their behavior based on the operator’s mental state, moving beyond static programming toward truly responsive collaboration. Her 2024 paper, “Getting Closer to Real-world: Monitoring Humans Working with Collaborative Industrial Robots,” lays essential groundwork by introducing dynamic, real-world elements into HRC studies, while her follow-up work on pupil responses provides a validated method for tracking operator learning. Though early in her career, with papers already garnering citations, Nannetti’s research is foundational for developing cobots that augment human capabilities rather than replace them—a core tenet of next-generation smart manufacturing.
Research Focus
Key Achievements
Top Papers
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