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About

Graziana Cavone is a prominent researcher specializing in human-robot collaboration, collaborative robotics, and intelligent automation within industrial settings. Her work sits at the intersection of control engineering, optimization, and human-centered design, addressing one of the most pressing challenges of the Industry 4.0 and emerging Industry 5.0 paradigms: enabling robots and humans to work together safely, efficiently, and ergonomically. Cavone's most influential contribution, a 2021 survey on control techniques for safe and ergonomic human-robot collaboration, has garnered an impressive 173 citations, establishing her as a key voice in the field. This work, alongside a complementary literature review also published in 2021, provides researchers and practitioners with comprehensive frameworks for understanding collaborative robotics in manufacturing environments. Her research extends beyond traditional robotics to innovative domains such as human-drone interaction in warehouse settings, where she has proposed practical solutions for inventory management that prioritize operator well-being. Notably, Cavone has also tackled complex logistics challenges, developing matheuristic approaches for automated bin packing that have attracted significant attention with 52 citations. Her trajectory planning and multi-objective optimization research further demonstrates her commitment to creating industrial workplaces that balance productivity with human safety — a contribution that resonates deeply with both academic researchers and industry practitioners.